Data Engineer - Foundry Developer

Department Icon Data Science Analytics & Machine Learning
Posted: 6 days ago
2-5 years
Bangalore, Karnataka, India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 7 Dec 2026

Posted: 6 days ago
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Job Description

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. That`s 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 environment.

 

  • 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 familiarity with the Pharma value chain is a plus.
  • Agile mindset with a proactive, hands-on approach and experience in leading teams.

Your role:

Work collaboratively with a Data Architect and Engineers to design and manage reliable, secure data pipelines, and cloud-based analytics architectures. Support data governance, gather requirements, and establish best practices with business and IT stakeholders to build a cohesive data framework for optimized decision-making and innovation.


What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!

 

Skills

Data SecurityStakeholder ManagementOltp/olapCloud PlatformsData Pipeline DevelopmentPysparkPythonEtl ArchitectureData GovernanceSqlC++PythonJavaC++Rust

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About Company

Merck KGaA, Darmstadt, Germany is a leading science and technology company in healthcare, life science and performance materials. Around 60,000 employees work together to further develop technologies that improve and enhance life – from biopharmaceutical therapies to advanced electronic systems.

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