Explore numerous data analytics job opportunities in 218 Data Analytics jobs in Hyderabad
Data, Analytics,
Posted today
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Job Description
• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business
Manager, Data Analytics
Posted 8 days ago
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Job Description
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
**About the Role**
Manager, Data Analytics at Thermo Fisher Scientific Inc. in Hyderabad. Work with top professionals in a growing environment to shape analytical strategies.
**Key Responsibilities**
+ Lead and manage a team of data engineers and analysts to deliver outstanding analytical insights.
+ Designing, implementing, and maintaining scalable data architectures and pipelines.
+ Manage Data Platform operations to achieve near‑zero downtime (≥99.99% availability).
+ Develop and maintain robust data models that strictly adhere to industry standards.
+ Collaborate with cross-functional teams to identify and implement data-driven strategies.
+ Ensure the accuracy and integrity of data through flawless data validation processes.
+ Planning, prioritizing, and managing data engineering projects, ensuring timely delivery and adherence to quality standards.
+ Provide actionable recommendations to optimize business performance using confirmed analytical methods.
**Qualifications**
+ Bachelor's degree in Computer Science, Information Technology, or a related field.
+ Strong technical background in data engineering, including experience with data warehousing, ETL processes, and big data technologies.
+ Prior experience with Informatica, Cognos, SQL Server, and Oracle is highly desirable. Expertise in data warehouse (DW) migration is critical.
+ A minimum of 5 years of experience in data analytics or a related role.
+ Proficient in SQL and have hands on development experience using Spark and Pandas.
+ Demonstrated ability to lead teams and manage projects effectively.
+ Proficiency in programming languages like Python or Java .
+ Experience with cloud platforms (e.g., AWS , Azure , GCP ).
+ Knowledge of data modeling, data architecture, and data governance.
+ Excellent leadership, communication, and interpersonal skills.
+ Outstanding problem-solving skills and a keen attention to detail.
**Why Join Us**
At Thermo Fisher Scientific, you will have the chance to create a significant impact in a company that competes at the highest level. We are committed to encouraging an inclusive work environment where your outstanding insights and perspectives are valued. Embrace an ambitious career path with us and contribute to our mission of making the world healthier, cleaner, and safer. Apply today and start your story with us!
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Data Analytics - Analyst
Posted 8 days ago
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Job Description
**Location: Hyderabad**
**About the job**
Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. Data Analytics Services (DAS) is a key pillar of the Automation CoE within Sanofi Business Operations. Besides data analytics, the wider team's scope is comprised of Master Data Management, Process Mining & Process Intelligence and Robotic Process Automation (RPA). DAS is primarily responsible for building and maintaining Power BI dashboards in the finance domain.
**Main responsibilities:**
+ Collaborate with peer team and stakeholders to gather requirements and understand data visualization needs. Able to work independently and collaboratively within cross-functional teams.
+ Design, develop, and maintain interactive dashboards, reports, and visualizations in Power BI Desktop and Services. Connect and Integrate data from various sources (SQL databases, Excel, SharePoint, Cloud services) to Power BI efficiently using Power Query and DAX.
+ Develop and maintain complex data models, including establishing relationships, hierarchies, and calculated columns ensuring fast loading times and responsiveness, even with large datasets, write advanced DAX calculations and Power Query (M) transformations to deliver complex business logic and KPIs.
+ Implement row-level security, data refresh schedules, and performance tuning within Power BI reports. Manage data integration tasks, including data source connections and data transformation processes. Optimize report and dashboard performance by improving data queries, data model efficiency, and report rendering speed. Identify and address bottlenecks and resource constraints.
+ Create and manage dataflows, datasets, and apps in the Power BI Service. Publish and share reports, dashboards, app with security standpoint to various business user groups in Power BI Services. Maintain documentation for reports, data sources, and data transformation processes.
**About you:**
+ **Experience:** 3 to 5 years of hands-on experience and proficient in developing and maintaining dashboard in Power BI and Qlik Sense
+ **Soft skills:** Ability to work effectively with cross-functional partners and drive process improvement initiatives across an organization. Inter-cultural skills and eagerness to work in a very international setting. High level of Interpersonal/ communication skills with an ability to communicate and present at different levels of the organization. Openness to new tools.
+ **Technical skills:** Advance level in Power Query Editor, DAX functions, Power BI Development (Desktop), Microsoft SQL Database and Microsoft Excel knowledge. This position is responsible for designing and implementing KPI dashboards to add value to the businesses by improving the business processes and improve efficiencies (e.g., delays in process flow) and compliance violations (e.g., control circumvention) across all Sanofi Business Service Lines. Data Science experience to build business cases for machine learning opportunities. Strong ability to review, recommend and implement technologies and tools. Proven knowledge of applicable Project methodologies (PM Methodology, Agile / Scrum) Proven Master Power BI developer skills (incl. Power Query, DAX, Visualization) Power BI, SQL (for Snowflake data mining).
+ Manage and coordinate projects and stakeholders for ongoing initiatives. Educate and enable the business users to use the data visualization tools. Act as a consultant for any data visualization related topics for the stakeholders. Good presentation skills with the ability to present non-technical details to a technical.
+ **Education:** Candidate must possess at least a bachelor's degree or master's degree in quantitative subject (computer science, mathematics, engineering, statistics or science).
+ **Languages:** High levels of proficiency in English
**Why choose us?**
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks' gender-neutral parental leave.
+ Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
Data & Analytics Lead
Posted 8 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
What you will do
Let's do this. Let's change the world. We are seeking an individual who thrives in ambiguity, capable of driving data and analytics initiatives with precision and purpose. You will support the implementation of strategies, systems, and processes that enable data-driven decision-making across procurement and supply chain. Reporting to the Source-to-Contract (S2C) Technology Enablement Lead, your responsibilities will include designing the analytics strategy, building pipelines, integrating platforms, enabling visualization capabilities, leveraging GenAI tools, and delivering actionable insights that inform strategic sourcing and procurement decisions.
Roles & Responsibilities
Data & Analytics Strategy
+ Develop and implement enhancements aligned with broader S2C strategic objectives and enterprise data strategy.
+ Define and manage a data and analytics roadmap, prioritizing dashboards, AI/ML models, APIs, and data products.
+ Track value delivery through KPIs such as cycle-time reduction, supplier risk mitigation, savings enablement, and user adoption.
Data Engineering & Integration
+ Build and manage pipelines into data lakes/lakehouses (e.g., Databricks/Delta), integrating ERP, CLM, SRM, and external data sources.
+ Code in SQL and Python for data modeling, cleansing, and transformations.
+ Implement robust data quality, governance, lineage, and audit controls.
Visualization & Storytelling
+ Deliver executive-ready dashboards and insights using tools such as Power BI, Tableau, or Looker.
+ Establish visualization standards and KPIs to enable consistent decision-making.
+ Convert complex analyses into clear, compelling narratives for senior stakeholders.
Advanced Analytics & GenAI
+ Apply GenAI tools for procurement use cases, including contract intelligence, supplier summaries, and clause analysis.
+ Build predictive and prescriptive models for demand forecasting, supplier risk, and cost optimization.
+ Leverage ML frameworks for experimentation, feature management, and human-in-the-loop governance.
Procurement & Supply Chain Domain Leadership
+ Partner with category managers to translate procurement and supply chain problems into data-driven use cases.
+ Support savings tracking, supplier diversity, ESG reporting, and risk analysis with data insights.
+ Improve supplier master data accuracy, classification, and taxonomy.
Governance & Compliance
+ Ensure analytics pipelines comply with SOX, GxP, GDPR, CSRD, and internal audit requirements.
+ Own audit documentation, lineage records, and inspection readiness.
+ Implement access controls, data minimization, and privacy standards.
Stakeholder Engagement & Change Management
+ Act as a liaison between business and technical stakeholders to translate requirements into scalable data solutions.
+ Lead training, adoption, and enablement for self-service analytics capabilities.
+ Manage vendor relationships and ensure SLAs are met for analytics platforms.
Team Leadership
+ Mentor analysts, engineers, and BI developers on data engineering, visualization, and governance practices.
+ Promote best practices in agile delivery, backlog management, and predictable outcomes.
Functional Skills
Must-Have Skills
+ Data Engineering: Hands-on experience with Databricks/Delta Lakehouse, SQL, Python, PySpark, orchestration tools, and CI/CD.
+ Visualization & Storytelling: Proficiency with Power BI/Tableau/Looker and ability to craft executive-level narratives.
+ GenAI & Analytics: Exposure to GenAI/ML platforms and ability to apply them in procurement/supply chain contexts.
+ Domain Knowledge: Strong understanding of procurement and supply chain processes, supplier master data, and compliance frameworks.
+ Governance & Compliance: Knowledge of SOX, GxP, GDPR, and audit practices.
Good-to-Have Skills
+ Technical Liaison Experience: Ability to bridge between technical and business stakeholders.
+ Change Management: Familiarity with training and adoption practices for analytics and digital tools.
+ Data Science & AI: Experience with ML experimentation, feature stores, and advanced analytics techniques.
Soft Skills
+ Communication & Influence: Ability to simplify complex analytics for stakeholders across procurement, finance, IT, and executive leadership.
+ Strategic Thinking: Ability to design scalable, future-proof data solutions.
+ Collaboration: Strong cross-functional team collaboration skills, including mentorship and knowledge transfer.
+ Adaptability: Comfort in dynamic environments with shifting priorities.
+ Problem Solving: Structured approach to tackling technical and business problems.
+ Attention to Detail: Precision in handling data quality, governance, and regulatory documentation.
Manager - Data Analytics
Posted 8 days ago
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Job Description
Technical/Functional Skills: -MS SQL Server 2014 / 2016 -C#.Net, ASP.net, MVC and Angular -Tableau Desktop 2022 / 2023 and others -Strong T-SQL Knowledge and Proficiency in SQL Query Language -Excel / Access / Office 365 -Experience with ETL tools like SSIS, Informatica, Alteryx are added advantages Required Skills: -Ability to develop project plans, assign tasks, and monitor progress to ensure tasks are completed on schedule -Excellent understanding of Application development life cycle -Excellent understanding of Database Designing and Development of complex scripts -Excellent understanding of visualization techniques -Statistics skill sets are an added advantage -Critical Thinking: Data story telling must look at the numbers, trends, and data and come to new conclusions based on the findings. -Excellent communication skills (verbal & written) -Strong motivational, organizational & time management skills -Ability to guide, motivate, and inspire the team -Flexible, adaptive & proactive -Ability to work in alignment with the implementation/operations/service and Product/GPT teams. -Willingness to work in different time zones Education Qualification:B.E. (Bachelor of Engineering) and B. Tech (Bachelor of Technology)
**A little about ADP:** We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition ( .
**Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:** ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
**Ethics at ADP:** ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.
Data Analytics Lead
Posted today
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Job Description
We are seeking an experienced Data Analytics Lead with strong expertise in NetSuite
Analytics Warehouse (NSAW), Fusion Data Intelligence (FDI), and Oracle Analytics
Cloud (OAC). The candidate will be responsible for designing and leading enterprise
analytics solutions, integrating multiple data sources, building actionable dashboards, and
driving insights that align with business KPIs. The role requires strong leadership in solution
architecture, stakeholder engagement, and team mentoring.
Key Responsibilities:-
● Lead the end-to-end implementation of NSAW, FDI, and OAC solutions across
Finance, Supply Chain, HR, and Customer Experience domains.
● Design and configure data pipelines, data models, KPIs, and dashboards that
support strategic business objectives.
● Collaborate with stakeholders to capture analytics requirements, translate them into
technical solutions, and ensure timely delivery.
● Integrate data from NetSuite, Fusion Applications, Salesforce, AS/400, and other
enterprise systems into NSAW/OAC.
● Optimize ETL/ELT processes for performance, scalability, and governance.
● Drive data quality, security, and compliance across analytics solutions.
● Provide thought leadership on modern analytics practices (AI/ML integration,
predictive insights, embedded analytics).
● Mentor and guide junior team members in data modeling, report development, and
troubleshooting.
● Act as a bridge between business stakeholders, functional consultants, and
technical teams.
Required Skills & Qualifications:-
● 10+ years of experience in Data Analytics / Business Intelligence with at least 3+
years hands-on in NSAW, OAC, and FDI.
● Strong expertise in data modeling, semantic layer design, and KPI development.
● Deep understanding of Oracle Fusion ERP/HCM/SCM data structures and
NetSuite data models.
● Proficiency in SQL, ETL/ELT design, and data integration tools.
● Experience in dashboards, self-service reporting, and visualization best
practices.
● Strong knowledge of cloud data architecture and data governance.
● Exposure to AI/ML-driven analytics within Oracle ecosystem is a plus.
● Excellent communication and stakeholder management skills.
● Proven leadership ability to manage teams and deliver complex analytics programs.
Good to Have:-
● Experience in Oracle Autonomous Data Warehouse (ADW) or other cloud data
warehouses.
● Familiarity with Data Lake architectures and integration with OAC/NSAW.
● Prior experience in prebuilt accelerators or industry-specific analytics solutions.
● Certification in Oracle Analytics Cloud, Fusion Analytics Warehouse, or Oracle
Cloud Infrastructure (OCI).
Data Analytics Lead
Posted 3 days ago
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Job Description
Job Title: Data Analytics Lead
Experience: 7 to 8 Years
Location: Hyderabad
Role Type: Individual Contributor
About the Role: We are seeking a skilled and experienced Data Analytics Specialist to join our team in Hyderabad. This is an individual contributor role focused on driving data quality, governance, and advanced analytics across a cloud-native environment. The ideal candidate should have strong technical expertise across modern data stacks, excellent problem-solving skills, and a proactive approach to managing enterprisegrade data platforms.
Key Responsibilities:
• Design, develop, maintain data pipelines, data transformation ETL using AWS Glue, AWS EMR, AWS Kinesis, AWS Redshift, Amazon Athena, App Flow platform and services. Language expertise in Python, Spark, and Scala.
• Implement and manage MDM (Master Data Management) strategies to ensure consistent and accurate data across systems.
• Perform data modeling, transformation, and analysis on Snowflake EDW platform on AWS & Azure cloud.
• Define and enforce data governance, data lineage policies, ensuring data accuracy, integrity, and compliance across the organization.
• Conduct data quality (DQ) checks and root cause analysis for data-related issues.
• Collaborate with business stakeholders to translate requirements into analytical solutions and meaningful insights.
• Optimize data architecture and analytics frameworks for performance and scalability in cloud environments.
Required Skills & Experience:
• 7 to 8 years of experience in Data Analytics with a strong focus on cloud-based data platforms.
• Hands-on experience with MDM, Redshift, EMR Cluster, Snowflake, AWS Kinesis, Spark, and Scala. • Deep understanding of Data Governance and Data Quality principles.
• Proficient in handling large volumes of data and building reliable data pipelines.
• Strong analytical and problem-solving skills with the ability to work independently.
• Experience working in an individual contributor role with minimal supervision. Preferred Qualifications: • AWS DA Professional certification(s) / SnowPro
• Exposure to enterprise-grade data strategy projects.
• Familiarity with data catalog tools and metadata management.
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Data Analytics Lead
Posted today
Job Viewed
Job Description
Analytics Warehouse (NSAW), Fusion Data Intelligence (FDI), and Oracle Analytics
Cloud (OAC). The candidate will be responsible for designing and leading enterprise
analytics solutions, integrating multiple data sources, building actionable dashboards, and
driving insights that align with business KPIs. The role requires strong leadership in solution
architecture, stakeholder engagement, and team mentoring.
Key Responsibilities:-
● Lead the end-to-end implementation of NSAW, FDI, and OAC solutions across
Finance, Supply Chain, HR, and Customer Experience domains.
● Design and configure data pipelines, data models, KPIs, and dashboards that
support strategic business objectives.
● Collaborate with stakeholders to capture analytics requirements, translate them into
technical solutions, and ensure timely delivery.
● Integrate data from NetSuite, Fusion Applications, Salesforce, AS/400, and other
enterprise systems into NSAW/OAC.
● Optimize ETL/ELT processes for performance, scalability, and governance.
● Drive data quality, security, and compliance across analytics solutions.
● Provide thought leadership on modern analytics practices (AI/ML integration,
predictive insights, embedded analytics).
● Mentor and guide junior team members in data modeling, report development, and
troubleshooting.
● Act as a bridge between business stakeholders, functional consultants, and
technical teams.
Required Skills & Qualifications:-
● 10+ years of experience in Data Analytics / Business Intelligence with at least 3+
years hands-on in NSAW, OAC, and FDI.
● Strong expertise in data modeling, semantic layer design, and KPI development.
● Deep understanding of Oracle Fusion ERP/HCM/SCM data structures and
NetSuite data models.
● Proficiency in SQL, ETL/ELT design, and data integration tools.
● Experience in dashboards, self-service reporting, and visualization best
practices.
● Strong knowledge of cloud data architecture and data governance.
● Exposure to AI/ML-driven analytics within Oracle ecosystem is a plus.
● Excellent communication and stakeholder management skills.
● Proven leadership ability to manage teams and deliver complex analytics programs.
Good to Have:-
● Experience in Oracle Autonomous Data Warehouse (ADW) or other cloud data
warehouses.
● Familiarity with Data Lake architectures and integration with OAC/NSAW.
● Prior experience in prebuilt accelerators or industry-specific analytics solutions.
● Certification in Oracle Analytics Cloud, Fusion Analytics Warehouse, or Oracle
Cloud Infrastructure (OCI).
Data Analytics Lead
Posted today
Job Viewed
Job Description
Experience: 7 to 8 Years
Location: Hyderabad
Role Type: Individual Contributor
About the Role: We are seeking a skilled and experienced Data Analytics Specialist to join our team in Hyderabad. This is an individual contributor role focused on driving data quality, governance, and advanced analytics across a cloud-native environment. The ideal candidate should have strong technical expertise across modern data stacks, excellent problem-solving skills, and a proactive approach to managing enterprisegrade data platforms.
Key Responsibilities:
• Design, develop, maintain data pipelines, data transformation ETL using AWS Glue, AWS EMR, AWS Kinesis, AWS Redshift, Amazon Athena, App Flow platform and services. Language expertise in Python, Spark, and Scala.
• Implement and manage MDM (Master Data Management) strategies to ensure consistent and accurate data across systems.
• Perform data modeling, transformation, and analysis on Snowflake EDW platform on AWS & Azure cloud.
• Define and enforce data governance, data lineage policies, ensuring data accuracy, integrity, and compliance across the organization.
• Conduct data quality (DQ) checks and root cause analysis for data-related issues.
• Collaborate with business stakeholders to translate requirements into analytical solutions and meaningful insights.
• Optimize data architecture and analytics frameworks for performance and scalability in cloud environments.
Required Skills & Experience:
• 7 to 8 years of experience in Data Analytics with a strong focus on cloud-based data platforms.
• Hands-on experience with MDM, Redshift, EMR Cluster, Snowflake, AWS Kinesis, Spark, and Scala. • Deep understanding of Data Governance and Data Quality principles.
• Proficient in handling large volumes of data and building reliable data pipelines.
• Strong analytical and problem-solving skills with the ability to work independently.
• Experience working in an individual contributor role with minimal supervision. Preferred Qualifications: • AWS DA Professional certification(s) / SnowPro
• Exposure to enterprise-grade data strategy projects.
• Familiarity with data catalog tools and metadata management.
Data Analytics Lead
Posted today
Job Viewed
Job Description
Job Title: Data Analytics Lead
Experience: 7 to 8 Years
Location: Hyderabad
Role Type: Individual Contributor
About the Role: We are seeking a skilled and experienced Data Analytics Specialist to join our team in Hyderabad. This is an individual contributor role focused on driving data quality, governance, and advanced analytics across a cloud-native environment. The ideal candidate should have strong technical expertise across modern data stacks, excellent problem-solving skills, and a proactive approach to managing enterprisegrade data platforms.
Key Responsibilities:
• Design, develop, maintain data pipelines, data transformation ETL using AWS Glue, AWS EMR, AWS Kinesis, AWS Redshift, Amazon Athena, App Flow platform and services. Language expertise in Python, Spark, and Scala.
• Implement and manage MDM (Master Data Management) strategies to ensure consistent and accurate data across systems.
• Perform data modeling, transformation, and analysis on Snowflake EDW platform on AWS & Azure cloud.
• Define and enforce data governance, data lineage policies, ensuring data accuracy, integrity, and compliance across the organization.
• Conduct data quality (DQ) checks and root cause analysis for data-related issues.
• Collaborate with business stakeholders to translate requirements into analytical solutions and meaningful insights.
• Optimize data architecture and analytics frameworks for performance and scalability in cloud environments.
Required Skills & Experience:
• 7 to 8 years of experience in Data Analytics with a strong focus on cloud-based data platforms.
• Hands-on experience with MDM, Redshift, EMR Cluster, Snowflake, AWS Kinesis, Spark, and Scala. • Deep understanding of Data Governance and Data Quality principles.
• Proficient in handling large volumes of data and building reliable data pipelines.
• Strong analytical and problem-solving skills with the ability to work independently.
• Experience working in an individual contributor role with minimal supervision. Preferred Qualifications: • AWS DA Professional certification(s) / SnowPro
• Exposure to enterprise-grade data strategy projects.
• Familiarity with data catalog tools and metadata management.