What Jobs are available for Data Engineer in Mumbai?
Showing 66 Data Engineer jobs in Mumbai
Data Engineer
Posted 3 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
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Data Engineer
Posted 3 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
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Data Engineer
Posted 3 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Is this job a match or a miss?
Data Engineer
Posted 3 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Is this job a match or a miss?
Data Engineer
Posted 4 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Is this job a match or a miss?
Data Engineer
Posted 4 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
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Data Engineer
Posted 4 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
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Data Engineer
Posted 4 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer to join our team in Mumbai, Mahārāshtra (IN-MH), India (IN).
Job Duties: Key Responsibilities:
· Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
· Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
· Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
· Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, and Azure.
· Develop and deliver detailed presentations to effectively communicate complex technical concepts.
· Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
· Adhere to Agile practices throughout the solution development process.
· Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
7+ years' experience with Azure, Snowflake, Databricks, and Python
Minimum Skills Required: At least 7+ years' experience with the following tech stack - Azure, Snowflake, Databricks, and Python
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
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Data Engineer
Posted 7 days ago
Job Viewed
Job Description
Who is this for
If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critial business challenges using core concept of analytics, critical thinking.
We are seeking a skilled Data Engineer who has worked in a Retail/D2C domain. The ideal candidate will possess a strong blend of functional and technical expertise, particularly in Google Analytics, Google Ads, Facebook Ads, Amazon Ads. Good understanding of the entire D2C / E-Commerce marketing value chain.
The Data Engineer will play a critical role in designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and business stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions. The ideal candidate has a strong background in data engineering, analytics, and a keen eye for detail.
Key Responsibilities:
Stake Holder Management & Collaboration ( 10 % ) :-
- Work with data scientists, analysts, and stakeholders to understand data needs.
- Analyze and interpret data to identify trends, opportunities, and areas for improvement.
- Analyse business needs of stakeholders and customers.
- Gather Customer requirements via workshop questionnaires, surveys, site visit, Workflow storyboards, use cases and scenario mappings.
- Translate Business Requirements into functional requirements
- Create extensive project scope documentations to keep project and client teams on the same page.
- Collaborate with cross-functional teams to integrate analytics insights into the client’s operational processes.
Data Modeling ( 50% ) :
- Develop and maintain data models to support analytics and reporting.
- Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics
- Collaborate with business stakeholders to translate analytical requirements into efficient data structures and ensure models align with reporting needs
- Document data lineage, business rules, and model specifications to ensure knowledge transfer and maintain data governance standards
Data Quality Management & Governance(20%) :
- Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data
- Lead root cause analysis of data quality issues and implement preventive measures to minimize future occurrences
- Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data
- Provide training and support to team members on data quality best practices and validation procedures
Project and Team Management (20%) :
- Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards
- Coordinate cross-functional project teams including data engineers, analysts, and business stakeholders to achieve project objectives
- Develop detailed project plans, resource allocation strategies, and risk mitigation plans for analytics initiatives
- Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies
- Facilitate project status meetings, manage deliverable timelines, and communicate progress updates to senior leadership and clients
- Establish and maintain project documentation standards, including technical specifications, testing protocols, and deployment procedures
- Identify and resolve project bottlenecks, resource constraints, and technical challenges to ensure successful project completion
- Drive continuous improvement initiatives within the team by implementing agile methodologies and optimizing workflow processes
Key Qualifications
- Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
- Experience: 2+ years of experience in analytics.
Technical Skills:
- Proficiency in SQL and database technologies
- Core expertise with dbt (data build tool).
- Experience with data pipeline tools (e.g., Apache Airflow).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud).
- Knowledge of Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
Key Responsibilities:
- Data Pipeline Development: Design, build, and maintain scalable ETL processes.
- Data Modeling: Develop and maintain data models to support analytics and reporting.
- Collaboration: Work with data scientists, analysts, and stakeholders to understand data needs.
- Data Quality: Implement data quality checks and ensure data accuracy.
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Data Engineer
Posted 10 days ago
Job Viewed
Job Description
Position - Data Engineer
Location - Mumbai
Total Experience - 8+ years
Domain/Vertical - Insurance and / or Finance (preferred)
Qualifications Educational - B.Sc./M.Sc./BCA/MCA – IT or Computer Science
Relevant Experience:
- 7+ years of experience in Data Engineering.
- Experience programming skills in both Python and SQL.
- Experience with infrastructure as code, ideally Terraform and Terragrunt.
- Experience into Git, GitLab and Docker for building and deploying.
Responsibilities:
- Your primary duty is to build & maintain our data platform in AWS.
- In fulfilment of the above, you will regularly:
- Write data engineering code and tests using Python and SQL, using a variety of libraries and runtime environments,
- Write infrastructure as code using Terraform and build our deployment pipelines in GitLab.
- Perform code reviews, work with teammates on merge requests, participate in design sessions, etc.
- Participate in the team’s Scrum processes and ceremonies,
- Engage with stakeholders to elicit requirements, demonstrate functionality, and drive a data-driven mindset in the organization, Operate the data platform and monitor its performance.
Technical Mandatory Skills:
- Python
- SQL
- AWS
- Experience with infrastructure as code, ideally Terraform and Terragrunt.
- Version Control – Git
- Build & Deployment – GitLab or similar using Docker
- Good database design skills and an understanding of various data modelling techniques and approaches.
- An understanding of & exposure to different database technologies.
- Ability to engineer metadata-driven approaches for sustainability and scalability.
Please contact - Ronak Shah
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