Data Engineering Manager

Data Engineering Manager

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.

Job Description

Location – Hyderabad  #LI Hybrid

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.

• 6+ 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, 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

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/Srum

Skills Desired

Agile Methodology, Agility, Business Analytics, Business Intelligence (BI) Reporting, Cross-Functional Collaboration, Data Architecture, Databricks SQL, Data Engineering, Data Processing, Extract Transform Load (ETL), PySpark, Snowflake (Platform), Stakeholder Management, Structured Query Language (SQL)

Experience Level

Senior Level