Jobs / India / Novartis Pharmaceuticals Corporation
Data Engineering Manager
Novartis Pharmaceuticals Corporation · 🌍 Hyderabad (Office)
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About the role
Job Description Summary 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. Job Description 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 Skills Desired Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model