Data Engineering Manager

Novartis · Hyderabad

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Last observed by our collector: 8 October 2026 at 11:56 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: req-10087663-data-engineering-manager

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected minimum qualification: University degree in Informatics, Computer Sciences, Life Sciences, or a related field.Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

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. 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 plusSkills DesiredClinical 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

Collected minimum qualification

University degree in Informatics, Computer Sciences, Life Sciences, or a related field.

Collected experience requirement

7+ years