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Novartis

Data Engineering Manager

Novartis Hyderabad, Telangana, India

Pharmaceutical Manufacturing · 10,001+ employees

2 d ago
engineering-manager Senior (5-10 yrs) Full-time India
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About the role

You will lead the data engineering team to design scalable data ingestion and integration solutions while driving automation and data quality. The role involves collaborating with cross-functional teams to support data science and reporting initiatives using cloud-based technologies.

What they look for

Python PySpark R SQL AWS Data Engineering ETL Data Architecture Data Modeling DevOps Snowflake Power BI Agile Data Governance Clinical Data Management People Management

Requirements

Candidates must hold a university degree in Informatics, Computer Sciences, or Life Sciences and possess at least 7 years of experience in data engineering. Proficiency in Python, PySpark, SQL, and cloud-based data integration tools is required, along with a strong understanding of healthcare or life sciences domains.

Full description

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

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

 

Skills Desired

Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model

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