This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Summary LI-Hybrid 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 chance 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

📌 Data Steward (India)
🏢 Novartis
📍 India