Data Steward

Novartis India; Hyderabad; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Novartis India is seeking a Data Engineer Manager to lead the data engineering team in Hyderabad. You will support data science and analytics to build scalable Commercial solutions, focusing on cloud-based data integration, automation, quality, and cross-functional collaboration for impactful insights.

Ideal candidates have 1–4 years in data engineering within life sciences, strong Python/PySpark/R skills for ETL and BI, and DevOps/AWS experience. Hybrid work with on-site presence required.

Qualifications

• University degree in Informatics, Computer Sciences, Life Sciences, or related field.
• 1-4 years of data engineering experience in healthcare or life sciences.
• 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.

Responsibilities

• Design scalable data ingestion and integration solutions for data science and analytics.
• Ensure data quality by applying business and technical rules across lifecycle.
• Identify automation opportunities to streamline data processes.
• Build data pipelines using Python and CI/CD workflows.
• Collaborate with solution architects and vendors for best practices.
• Apply data management principles including modelling, harmonization, and ontology standards.
• Manage metadata with 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.

Skills

Python

PySpark

R

Agile

Data science concepts

Cloud data integration

Data modeling

Data governance

Stakeholder collaboration

Education

Bachelor's degree in Informatics/CS/Life Sciences

Tools

Alteryx

Power BI

Snowflake

AWS

CI/CD tooling

Job description

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 in building 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.
• 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 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)