Data Engineer (Bengaluru)

Data Engineer (Bengaluru)

08 Oct
|
Merck Healthcare
|
Bengaluru

08 Oct

Merck Healthcare

Bengaluru

Work Your Magic with us

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. Thats why we are always looking for curious minds that see themselves imagining the unimageable with us.

Who You Are

As a Data Engineer, you’ll play a pivotal role in enabling efficient data access, analytics, and value generation across a global Science & Technology enterprise. You’ll build and maintain data pipelines that bring data from diverse sources into a cloud-based analytics stack, working closely with business partners for data cleaning and preprocessing. Partnering with Data Governance and Quality teams, you’ll ensure data aligns with FAIR principles and implement reusable components and infrastructure to streamline future use-cases.





You’ll be part of a dynamic team dedicated to delivering cutting-edge analytics solutions across Healthcare Data and Analytics function. This role offers a unique opportunity to expand your expertise across various technical, scientific, and business domains, enhancing your Data Engineering skills within a project-based, multi-domain workplace.

• M.Sc./PhD/BE in Computer Science or related field with 2+ years of relevant experience.
• Proven experience with cloud platforms (e.g., Palantir, AWS, Hadoop) and data security best practices.
• Strong experience in Python, PySpark, R, and familiarity with additional programming languages (e.g., C++, Rust, Java).
• Skilled in designing ETL architectures for batch and streaming processes, database technologies (OLTP/OLAP), and SQL.
• Experience in Apache Spark, Hadoop ecosystem, and multi-platform/cloud setups (AWS, GCP, Azure).
• Knowledge of data governance, GxP data contexts, and fam

📌 Data Engineer (Bengaluru)
🏢 Merck Healthcare
📍 Bengaluru

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