Data Steward

Healthcare Businesswomen’s Association; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Novartis in Hyderabad is seeking a Data Engineer Manager to lead the data engineering team, enabling data science and analytics initiatives with scalable cloud-based solutions. You’ll drive data ingestion, quality, and automation while collaborating with cross-functional teams to deliver impactful insights.

The role requires hands-on experience with Python, PySpark, R, AWS, and BI tools, along with strong data architecture and Agile experience in global projects.

Qualifications

• University degree in Informatics, Computer Sciences, Life Sciences, or a related field.
• 1-4 years of experience in data engineering with healthcare/life sciences exposure.
• Proven expertise in Python, PySpark and R for ETL/BI data product development.
• Strong experience with DevOps, AWS cloud data integration and third-party ingestion tools.
• Proficiency in SQL for Oracle and MS SQL Server.
• Proficiency in 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 projects.
• Understanding of data science concepts is a plus.

Responsibilities

• Design scalable data ingestion and integration solutions for data science and analytics data products.
• Ensure data quality by applying business and technical rules across the data lifecycle.
• Identify and implement automation opportunities to streamline data processes.
• Build data pipelines using Python and CI/CD workflows for seamless integration.
• Collaborate with solution architects and vendors to align with best practices.
• Apply data management principles including modelling, harmonization, and ontology standards.
• Manage metadata and leverage enterprise ontology tools.
• Ensure adherence to FAIR data principles across projects.
• Support end-user training and promote self-service data capabilities.

Skills

Python

PySpark

R

DevOps

AWS

SQL

Snowflake

Alteryx

Power BI

Data modelling

Education

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

Tools

Alteryx

Power BI

Snowflake

Oracle

MS SQL Server

Job description

Job Description Summary

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.

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.

Skills Desired

• Alteryx


• Analytical Thinking


• Brand Awareness


• Business Networking


• Digital Marketing


• Media Campaigns


• Process Documentation


• Statistical Analysis