Job Description
Associate Specialist: Data Engineering
The Chance:
Join a global biopharma company with a 130-year legacy and mission to achieve new milestones in healthcare. Be part of a technology-driven, data-led organization supporting a diversified portfolio of medicines, vaccines, and animal health products. Work alongside passionate teams that use data, analytics, and insights to drive decisions and tackle some of the world’s greatest health threats.
Our Technology Centers are globally distributed hubs that enable our digital transformation and business outcomes across IT. They bring together diverse teams to collaborate, share best practices, and deliver solutions that save and improve lives.
This role is based at our Hyderabad Tech Center and follows a hybrid working model (3 days onsite, 2 days remote). Candidates are expected to reside within commuting distance of the Hyderabad office.
Role Overview
We are looking for a Data Engineer with 2–4 years of hands-on experience in building and supporting data pipelines, ETL/ELT workflows, and analytics-ready datasets.
The ideal candidate should have strong fundamentals in Python, PySpark, SQL, AWS, and Databricks, with practical exposure to data lakes, lakehouse patterns, data warehousing, data quality, and production support. This role is best suited for a hands-on engineer who can work from defined requirements, contribute to reliable data solutions, collaborate with cross-functional teams, and grow into larger ownership over time.
What will you do in this role
- Build, enhance, and support batch and streaming data pipelines using defined technical designs and backlog requirements.
- Develop and maintain ETL/ELT transformations using Python, PySpark, and SQL across data lake, lakehouse, and warehouse environments.
- Work closely with Data Analysts, Data Scientists, senior engineers, tech leads, and product managers to understand requirements and deliver curated, analytics-ready datasets.
- Implement
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