Summary

Location: Hyderabad

Are you ready to shape the future of data engineering in life sciences? As a Data Engineer Manager, you’ll lead the data engineering team and support the data science and/or reporting & analytics team inbuilding scalable Commercial solutions to enhance the medical/sales representative actionable. You’ll be at the forefront of cloud-based data integration, driving automation, quality, and efficiency while collaborating with cross-functional teams to deliver impactful insights.

This is your opportunity to make a real difference in global healthcare through cutting-edge data engineering.

About The Role

Major Accountabilities

- Design scalable data ingestion and integration solutions to support data products for data science and reporting & analytics.
- Ensure data quality by applying business and technical rules throughout its lifecycle.
- Identify and implement automation opportunities to streamline data processes.
- Build data pipelines using Python and CI/CD workflows for seamless data integration.
- Collaborate with solution architects and vendors to align with best practices.
- Apply data management principles including modelling, harmonization, and ontology standards.
- Manage metadata effectively and leverage enterprise ontology tools.
- Ensure adherence to FAIR data principles across applicable projects.
- Conduct feasibility assessments and define project requirements with stakeholders.
- Support end-user training and promote self-service data capabilities.

Minimum Requirements

- University degree in Informatics, Computer Sciences, Life Sciences, or a related field.
- 1-4 years of experience in data engineering with good understanding of healthcare or life sciences. Experience with Commercial is a plus.

- Proven expertise in Python,



PySpark and R for ETL and BI data product development.
- Robust experience with DevOps, AWS cloud data integration and third-party ingestion tools.
- Proficiency in SQL for relational databases such as Oracle and MS SQL Server.
- Proficiency in Cloud based databases like Snowflake is a plus.
- Hands-on experience with ETL tools like Alteryx and BI platforms like Power BI.
- Solid understanding of data architecture, modelling, and analytics concepts.
- Familiarity with Agile methodologies in global project environments.
- Understanding of Data science concepts is a plus

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you.

Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together. https://www.novartis.com/about/roadmap/people-and-culture

Commitment To Diversity & Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.

Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration.

Location: Hyderabad NKC. Hybrid | 3 days a week in office is mandatory.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

📌 Data Steward (Hyderabad)
🏢 Novartis India
📍 Hyderabad