Data Steward

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

Job summary

Novartis India is seeking a Data Engineer Manager to lead the data engineering team in Hyderabad. You will drive scalable data ingestion, data quality and automation, collaborating with data science and analytics teams to deliver actionable insights.

The role requires hands-on experience with Python, PySpark, R, and AWS cloud data integration, plus strong SQL and BI skills. Hybrid work arrangement with in-office presence is required.

Qualifications

• Bachelor's degree in Informatics, Computer Sciences, Life Sciences or related field.
• 1-4 years of data engineering experience in healthcare or life sciences is preferred.
• 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 (Oracle, MS SQL Server).
• Cloud databases experience (Snowflake) is a plus.
• Hands-on 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.

Responsibilities

• 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.

Skills

Python

PySpark

R

DevOps

AWS

SQL

Snowflake

Alteryx

Power BI

ETL

BI

Data architecture

Agile

Data science concepts

Education

Bachelor's degree in Informatics, Computer Sciences, Life Sciences or related field

Tools

AWS

Snowflake

Alteryx

Power BI

Oracle

MS SQL Server

CI/CD tools

Job description

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)

Requirements