Data Engineering Manager

Novartis India; Hyderabad; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Novartis India is seeking a Data Engineer Manager to lead the data engineering team and partner with data science and analytics functions. You will design scalable data ingestion, ensure data quality, and drive automation across cloud-based data integration in a global healthcare context.

You will work with solution architects, vendors, and stakeholders to implement best practices, data modeling, and ontology standards while promoting self-service analytics and robust metadata management.

Qualifications

• 7+ years of data engineering experience in healthcare or life sciences.
• Strong Python, PySpark and R for ETL and BI data product development.
• Extensive experience with AWS cloud data integration and DevOps practices.
• Proficient SQL knowledge for Oracle and MS SQL Server.
• Familiarity with Agile methodologies in global projects.

Responsibilities

• Design scalable data ingestion and integration solutions for data science and analytics.
• Ensure data quality by applying business and technical rules throughout its lifecycle.
• Identify 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

SQL

AWS

Power BI

ETL Tools

Data Modeling

Agile/Scrum

Education

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

Tools

Snowflake

Oracle

MS SQL Server

CI/CD

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.

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.
• 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

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.
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