Data Engineering Manager

Data Engineering Manager

REQ-10087663
Sep 17, 2026
LOC_IN

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.
  • 7+ 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.
  • Strong 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 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

Skills Desired

Clinical Data Management, Cross-Functional Team, Data Architecture, Data Governance, Data Management, Data Quality, Data Science, Data Strategy, Drug Development, Master Data, People Management, Agile/Scrum

Role Requirements

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)

DIV_IM
Marketing
LOC_IN
Hyderabad (Office)
FCT_MM
Full time
Regular
No
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REQ-10087663

Data Engineering Manager

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