7,739 Big Data Analytics jobs in India
Big Data Analytics Developer
Ajmer, Rajasthan
beBeeDataEngineer
Posted today
Job Viewed
Job Description
As a Data Engineer in Azure Databricks, you will play a pivotal role in designing and developing data assets by collaborating with stakeholders.
Responsibilities include:
- Collaborating closely with stakeholders to identify data requirements and design ETL processes
- Creating detailed documentation for data integration and diagrams
- Leading data validation, UAT and regression tests for new data asset creations
- Designing and optimizing data models, including schema development and improvement
- Developing and managing data pipelines that automate data flow, ensuring quality and consistency
Required qualifications and skills:
- Strong knowledge of Python and PySpark programming languages
- Ability to write PySpark scripts for data workflow development
- Proficiency in SQL, Hadoop, Hive, Azure, Databricks, and Greenplum technologies
- Expected expertise in writing SQL queries for metadata and tables from various data management systems
- Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks
- Proficiency in using Hue and running Hive SQL queries, scheduling Apache Oozie jobs for automated data workflows
- Effective communication and collaboration skills with stakeholders and business teams for data testing
- Strong problem-solving and troubleshooting abilities
- Comprehensive data quality test cases, procedures, and automated validation processes implementation experience
- Degree in Data Science, Statistics, Computer Science or related fields or equivalent combination of education and experience
- 4-7 years of experience in Data Engineer positions
- Proficiency in commonly used data engineering programming languages such as Python, PySpark, and SQL
- Experience in Azure cloud computing platform, developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks
- Strong communication, analytical, time management, and multi-tasking skills with attention to detail and accuracy
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist (Big Data Analytics)
700001 Kolkata, West Bengal
₹1200000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and skilled Data Scientist with expertise in Big Data Analytics to join their innovative team in Kolkata, West Bengal, IN . This hybrid role offers a fantastic opportunity to work with vast datasets, develop predictive models, and derive actionable insights that drive strategic business decisions. You will leverage advanced statistical and machine learning techniques to solve complex problems and contribute to the company's data-driven initiatives.
Responsibilities:
Responsibilities:
- Collect, clean, and preprocess large, complex datasets from various sources.
- Design, develop, and implement statistical models and machine learning algorithms to solve business problems.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
- Build and deploy predictive models for forecasting, classification, and clustering.
- Evaluate model performance and iterate to improve accuracy and efficiency.
- Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
- Collaborate with data engineers to ensure data quality, integrity, and accessibility.
- Develop data visualizations and dashboards to present insights effectively.
- Stay updated with the latest advancements in data science, machine learning, and big data technologies.
- Contribute to the development of the company's data strategy and roadmap.
- Work with stakeholders to define analytical requirements and key performance indicators (KPIs).
- Ensure data privacy and security best practices are followed.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proven experience as a Data Scientist or in a similar analytical role.
- Strong proficiency in programming languages such as Python or R.
- Experience with big data technologies like Hadoop, Spark, Hive, or similar.
- Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Familiarity with SQL and NoSQL databases.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience working in a hybrid environment, balancing on-site and remote collaboration.
- Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Big Data Analytics + DevOps Engineer
Pune, Maharashtra
Radical Technologies
Posted today
Job Viewed
Job Description
Apply before
Position: Big Data Analytics + DevOps Engineer
Experience Required: 2–3 years (Freshers with strong knowledge are welcome)
Location: Punawale, Pune
Employment Type: Full-Time, Permanent
Compensation:
Freshers: Stipend of ₹8,000 – 10,000 per month during the training/probation period
Experienced (2–3 years): ₹2 – 5 LPA (based on skills and experience)
Job Description:
We are seeking a skilled Big Data Analytics + DevOps Engineer professional with expertise
in Kafka, Hadoop, Spark, Java, Data Analytics, and DevOps. The candidate will be
responsible for designing, developing, and managing large-scale data processing systems and
ensuring smooth deployment and scalability of data applications.
Key Responsibilities:
1. Develop and maintain big data pipelines using Hadoop and Spark.
2. Handle real-time data streaming using Kafka.
3. Implement data analytics solutions to extract insights from large datasets.
4. Collaborate with DevOps teams for CI/CD, automation, and deployment of data
applications.
5. Write efficient, maintainable code in Java and integrate with big data frameworks.
6. Monitor, troubleshoot, and optimize performance of data processing pipelines.
Mandatory Skills:
1. Big Data Technologies: Hadoop, Spark
2. Streaming Platforms: Kafka
3. Programming: Java
4. Data Analytics: Strong understanding of analytics concepts and processing large
datasets
5. DevOps Practices: CI/CD, automation, monitoring, deployment pipelines
Qualifications:
1. Proven experience in Kafka, Hadoop, Spark, Java, DevOps, and data analytics
2. Strong problem-solving and analytical skills
3. Ability to work collaboratively in a fast-paced environment
Fields with (*) are compulsory.
This advertiser has chosen not to accept applicants from your region.
2
Senior Analyst, Big Data Analytics & Engineering
Gurugram, Uttar Pradesh
Mastercard
Posted 1 day ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Analyst, Big Data Analytics & Engineering
Overview:
Job Title:
Sr. Analyst, Data Engineering, Value Quantification Team (Based in Pune, India)
About Mastercard:
Mastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential. Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all.
Position Overview:
This is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements with 5-7 years or experience. The role focuses on developing and maintaining advanced data engineering solutions for pre-sales value quantification within the Services business unit. As a Sr. Analyst, you will be responsible for creating and optimizing data pipelines, managing large datasets, and ensuring the integrity and accessibility of data to support Mastercard's internal teams in quantifying the value of services, enhancing customer engagement, and driving business outcomes. The role requires close collaboration across teams to ensure data solutions meet business needs and deliver measurable impact.
Role Responsibilities:
- Data Engineering & Pipeline Development: Develop and maintain robust data pipelines to support the value quantification process. Utilize tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx to ensure efficient data integration and transformation.
- Data Management and Analysis: Manage and analyze large datasets using SQL, Hadoop, and other database management systems. Perform data extraction, transformation, and loading (ETL) to support value quantification efforts.
- Advanced Analytics Integration: Use advanced analytics techniques, including machine learning algorithms, to enhance data processing and generate actionable insights. Leverage programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development.
- Business Intelligence and Reporting: Utilize business intelligence platforms such as Tableau and Power BI to create insightful dashboards and reports that communicate the value of services. Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations.
- Cross-Functional Collaboration & Stakeholder Engagement: Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment. Communicate insights and data value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage.
All About You:
- Data Engineering Expertise: Proficiency in data engineering tools and techniques to develop and maintain data pipelines. Experience with data integration tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx.
- Advanced SQL Skills: Strong skills in SQL for querying and managing large datasets. Experience with database management systems and data warehousing solutions.
- Programming Proficiency: Knowledge of programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development.
- Business Intelligence and Reporting: Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau and Power BI.
- Statistical Analysis: Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making.
- Cross-Functional Collaboration: Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment.
- Communication and Presentation: Excellent communication skills to convey insights and data value through compelling presentations and dashboards to senior leadership and internal teams.
- Execution Focus: A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that data solutions are delivered on time and create measurable business value.
Education:
Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, AI/ML, or an MBA are preferred.
Why Us?
At Mastercard, you'll have the opportunity to shape the future of internal operations by leading the development of data engineering solutions that empower teams across the organization. Join us to make a meaningful impact, drive business outcomes, and help Mastercard's internal teams create better customer engagement strategies through innovative value-based ROI narratives.
Location: Gurgaon/Pune, India
Employment Type: Full-Time
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Analyst, Big Data Analytics & Engineering
Overview:
Job Title:
Sr. Analyst, Data Engineering, Value Quantification Team (Based in Pune, India)
About Mastercard:
Mastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential. Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all.
Position Overview:
This is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements with 5-7 years or experience. The role focuses on developing and maintaining advanced data engineering solutions for pre-sales value quantification within the Services business unit. As a Sr. Analyst, you will be responsible for creating and optimizing data pipelines, managing large datasets, and ensuring the integrity and accessibility of data to support Mastercard's internal teams in quantifying the value of services, enhancing customer engagement, and driving business outcomes. The role requires close collaboration across teams to ensure data solutions meet business needs and deliver measurable impact.
Role Responsibilities:
- Data Engineering & Pipeline Development: Develop and maintain robust data pipelines to support the value quantification process. Utilize tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx to ensure efficient data integration and transformation.
- Data Management and Analysis: Manage and analyze large datasets using SQL, Hadoop, and other database management systems. Perform data extraction, transformation, and loading (ETL) to support value quantification efforts.
- Advanced Analytics Integration: Use advanced analytics techniques, including machine learning algorithms, to enhance data processing and generate actionable insights. Leverage programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development.
- Business Intelligence and Reporting: Utilize business intelligence platforms such as Tableau and Power BI to create insightful dashboards and reports that communicate the value of services. Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations.
- Cross-Functional Collaboration & Stakeholder Engagement: Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment. Communicate insights and data value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage.
All About You:
- Data Engineering Expertise: Proficiency in data engineering tools and techniques to develop and maintain data pipelines. Experience with data integration tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx.
- Advanced SQL Skills: Strong skills in SQL for querying and managing large datasets. Experience with database management systems and data warehousing solutions.
- Programming Proficiency: Knowledge of programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development.
- Business Intelligence and Reporting: Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau and Power BI.
- Statistical Analysis: Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making.
- Cross-Functional Collaboration: Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment.
- Communication and Presentation: Excellent communication skills to convey insights and data value through compelling presentations and dashboards to senior leadership and internal teams.
- Execution Focus: A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that data solutions are delivered on time and create measurable business value.
Education:
Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, AI/ML, or an MBA are preferred.
Why Us?
At Mastercard, you'll have the opportunity to shape the future of internal operations by leading the development of data engineering solutions that empower teams across the organization. Join us to make a meaningful impact, drive business outcomes, and help Mastercard's internal teams create better customer engagement strategies through innovative value-based ROI narratives.
Location: Gurgaon/Pune, India
Employment Type: Full-Time
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist, Big Data Analytics
500001 Shaikpet, Andhra Pradesh
₹1500000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is looking for an accomplished Lead Data Scientist to spearhead their big data analytics initiatives. This pivotal role, based in Hyderabad, Telangana, IN , combines technical leadership with hands-on data science expertise, offering a hybrid work arrangement for optimal work-life balance. The ideal candidate will have extensive experience in extracting actionable insights from massive datasets, developing predictive models, and driving data-informed decision-making across the organization. You will lead a team of talented data scientists, guiding them through the entire data science lifecycle – from problem definition and data collection to model deployment and performance monitoring. Responsibilities include designing and implementing advanced machine learning algorithms, performing complex statistical analyses, and developing data visualizations to communicate findings to both technical and non-technical stakeholders. A strong understanding of big data technologies, cloud platforms (AWS, Azure, GCP), and distributed computing frameworks (Spark, Hadoop) is essential. This position requires exceptional leadership, mentorship, and communication skills, along with a proven ability to translate complex business problems into data science solutions. If you are passionate about leveraging data to unlock business value and eager to lead a team in a hybrid setting, this role is an exciting opportunity.
Responsibilities:
Responsibilities:
- Lead and mentor a team of data scientists, overseeing project execution.
- Design, develop, and deploy advanced machine learning models and statistical analyses.
- Extract, clean, and transform large, complex datasets from various sources.
- Develop and implement robust data pipelines and analytical workflows.
- Identify key business challenges and formulate data-driven solutions.
- Communicate complex findings and recommendations to stakeholders through compelling visualizations and reports.
- Collaborate with engineering and product teams to integrate data science models into production systems.
- Evaluate and adopt new data science tools and technologies to enhance team capabilities.
- Ensure the quality, integrity, and security of data used for analysis.
- Stay current with the latest advancements in data science, machine learning, and big data technologies.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 6-9 years of experience in data science, with at least 2-3 years in a leadership or senior role.
- Expertise in programming languages such as Python or R, and SQL.
- Proficiency in big data technologies (e.g., Spark, Hadoop, Hive) and cloud platforms (AWS, Azure, GCP).
- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong problem-solving and critical thinking skills.
- Excellent communication and interpersonal skills, with the ability to present technical information clearly.
- Experience working in a hybrid work environment is a plus.
- Proven ability to lead projects and mentor junior team members.
This advertiser has chosen not to accept applicants from your region.
4
Junior Data Scientist, Big Data Analytics
530001 Visakhapatnam, Andhra Pradesh
₹30000 Monthly
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking an enthusiastic and driven Junior Data Scientist to join their innovative Big Data Analytics team. This is a fully remote internship opportunity, providing invaluable hands-on experience in a fast-paced, data-centric environment. You will work closely with senior data scientists and analysts to extract insights from large datasets, build predictive models, and contribute to data-driven decision-making. This role is ideal for a recent graduate or an aspiring data scientist looking to kickstart their career. Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large volumes of structured and unstructured data from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement machine learning models for tasks such as classification, regression, and clustering.
- Utilize programming languages like Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow) for data analysis and model building.
- Collaborate with team members to define project objectives and data requirements.
- Create compelling data visualizations to communicate findings and insights to both technical and non-technical stakeholders.
- Participate in code reviews and contribute to the development of robust data science pipelines.
- Assist in the evaluation and validation of model performance.
- Stay updated with the latest advancements in data science, machine learning, and big data technologies.
- Contribute to documentation of data models, methodologies, and findings.
- Learn and apply best practices in data management and ethical data usage.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic knowledge of SQL for data querying.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt quickly in a dynamic environment.
- Ability to work independently and manage tasks effectively in a remote setting.
- Previous internship or project experience in data analysis or machine learning is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Big Data Consultant, Data & Analytics
Bengaluru, Karnataka
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
At AWS ProServe India LLP, we're hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.
You will be required to travel to client locations and deliver professional services when needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Expertise - Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings.
Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Innovate - Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
*This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi*
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) with proven experience implementing them in distributed computing environments.
- Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
- Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
- Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings
Preferred Qualifications
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in developing software using one or more programming languages (Java, Python, etc.) with understanding of SDLC and Agile/iterative methodologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
At AWS ProServe India LLP, we're hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.
You will be required to travel to client locations and deliver professional services when needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Expertise - Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings.
Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Innovate - Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
*This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi*
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) with proven experience implementing them in distributed computing environments.
- Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
- Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
- Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings
Preferred Qualifications
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in developing software using one or more programming languages (Java, Python, etc.) with understanding of SDLC and Agile/iterative methodologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Big data analytics Jobs in India !
6
Big Data Consultant, Data & Analytics
Gurugram, Uttar Pradesh
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
At AWS ProServe India LLP, we're hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.
You will be required to travel to client locations and deliver professional services when needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Expertise - Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings.
Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Innovate - Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
*This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi*
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) with proven experience implementing them in distributed computing environments.
- Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
- Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
- Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings
Preferred Qualifications
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in developing software using one or more programming languages (Java, Python, etc.) with understanding of SDLC and Agile/iterative methodologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
At AWS ProServe India LLP, we're hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.
You will be required to travel to client locations and deliver professional services when needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Expertise - Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings.
Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Innovate - Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
*This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi*
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) with proven experience implementing them in distributed computing environments.
- Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
- Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
- Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings
Preferred Qualifications
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in developing software using one or more programming languages (Java, Python, etc.) with understanding of SDLC and Agile/iterative methodologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
7
Big Data Consultant, Data & Analytics
Hyderabad, Andhra Pradesh
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
At AWS ProServe India LLP, we're hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.
You will be required to travel to client locations and deliver professional services when needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Expertise - Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings.
Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Innovate - Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
*This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi*
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) with proven experience implementing them in distributed computing environments.
- Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
- Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
- Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings
Preferred Qualifications
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in developing software using one or more programming languages (Java, Python, etc.) with understanding of SDLC and Agile/iterative methodologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
At AWS ProServe India LLP, we're hiring highly technical cloud computing architects to collaborate with our internal customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our internal customers leverage their data to develop business insights. These professional services engagements will focus on solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.
You will be required to travel to client locations and deliver professional services when needed.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Expertise - Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
Solutions - Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings.
Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Insights - Work with AWS engineering and support teams in India to convey partner and internal customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Innovate - Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
*This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi*
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) with proven experience implementing them in distributed computing environments.
- Collaborate with AWS field BD, pre-BD, training and support teams to help partners and internal customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
- Engaging with the internal customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
- Deliver on-site technical engagements with partners and internal customers. This includes participating in pre-BD on-site visits, understanding requirements, creating packaged Data & Analytics service offerings
Preferred Qualifications
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in developing software using one or more programming languages (Java, Python, etc.) with understanding of SDLC and Agile/iterative methodologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
8
Data Mining Analyst
NuvoRetail
Posted today
Job Viewed
Job Description
Position: Data Mining Analyst
Please Note: Only Candidates with 2-3 years of experience should apply.
This is a Delhi-based position and work from office only!
Work Location: Sector 23 Dwarka, Delhi
We are seeking a skilled Data Mining Analyst with expertise in automating data extraction processes from web platforms. The ideal candidate will be experienced in Python, Selenium, Pandas, SQL, and APIs, with the ability to design and implement efficient and scalable data scraping systems. If you have a passion for working with data and a solid understanding of web technologies, we want to hear from you!
Key Responsibilities:
- Design, develop, and maintain robust web scraping solutions to extract structured and unstructured data from various websites and APIs.
- Use tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
- Build and manage automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
- Optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable.
- Work with APIs to gather and integrate data, ensuring proper rate limits and authentication handling.
- Clean, preprocess, and store extracted data in databases (SQL) or cloud-based systems.
- Collaborate with data analysts and other stakeholders to provide required data for further analysis and reporting.
- Debug and troubleshoot issues in scraping pipelines and scripts.
- Ensure compliance with ethical data scraping standards, including legal considerations like website terms of use and robots.txt policies.
Required Skills & Qualifications:
- Experience : 2-3 years of hands-on experience in web scraping and data extraction.
Technical Skills :
- Strong proficiency in Python.
- Experience with web scraping frameworks and libraries like Selenium, Scrapy, BeautifulSoup, and Requests.
- Experience with data manipulation libraries like Pandas.
- Familiarity with API integration (REST, GraphQL, etc.).
- Proficiency in SQL for data querying, database design, and managing large datasets.
- Knowledge of JavaScript and front-end technologies to work with dynamic web pages.
- Experience with version control (Git) and collaborative development environments.
Other Skills :
- Problem-solving skills with attention to detail.
- Ability to write clean, maintainable code and automate workflows.
- Good understanding of HTTP, HTML, CSS, and JavaScript.
- Familiarity with cloud services (AWS, Azure, GCP) is a plus.
Python Nice to Have:
- Experience with cloud-based scraping tools or services (e.g., AWS Lambda, Google Cloud Functions).
- Familiarity with distributed scraping and data pipeline management.
- Experience with large-scale data collection and storage systems.
- Knowledge of ethical and legal issues related to web scraping.
About Nuvoretail (
Nuvoretail Enlytical Technologies Private Limited is an e-commerce analytics and automation company. Our proprietary digital shelf analytics and automation platform called Enlytical.ai helps e-commerce brands solve the complexities in today’s e-commerce landscape by offering a unified and all- encompassing business view on the various aspects of e-commerce business. Our platform leverages insights drawn from multiple data points that help our clients win in e-commerce by gaining a competitive edge with data-driven insights for sharper decision-making. The insights cover all aspects of e-commerce such as digital product portfolio analysis, supply chain analytics, e-commerce operations automation, pricing, and competitor benchmarking, and Amazon advertising automation using our proprietary algorithms.
As a leading e-commerce service provider, we offer the most comprehensive end-to-end
e-commerce solutions to brands, both in India and abroad. Right from preparing a road map to writing our client’s e- commerce success story to assisting them In increasing their online sales, we do everything via our diverse e-commerce services and bespoke strategies and technology. Our services span across the brand’s e-commerce enablement including content and digital asset creation for product listing, On Platform, and Off Platform marketing services with deep expertise in Amazon Marketing Services (AMS), Amazon SEO through keyword research, e-Commerce operations across various e-commerce platforms, website development, social media marketing, and AI-enabled e-Commerce MIS Dashboards.
Awards & Recognition:
Thanks to the faith reposed on us by our clients, NuvoRetail has been featured as "The Most Promising Ecommerce Technology Service Providers in India 2020” by CIOReviewIndia Magazine. Our leadership is often acknowledged by leading e-commerce services, digital marketing, consulting, and other e- commerce programs around the world. We are now one of the very few companies in India that have become an Amazon Ads Advanced partner.
This advertiser has chosen not to accept applicants from your region.
9