Data Engineer

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Data Engineer

POSITION PURPOSE:

As a Data Engineer, you are developing and operating reliable data pipelines that enable timely access to high-quality data assets.

You are part of a dynamic team of technical experts, working hand-in-hand with subject matter experts, data product managers, semantic experts and data scientists to create data products that help Bayer to accelerate time-to-market, drive innovation and enhance efficiency across the whole pharma value chain.

YOUR TASKS AND RESPONSIBILITIES:

• Apply cloud and big-data engineering skills to build, test, and maintain data pipelines and data-product components using tools such as Spark, dbt, Airflow, or equivalent cloud-native services.
• Execute ingestion, transformation, and loading jobs that reliably move data from operational systems, IoT devices, or clinical sources into data platforms at agreed SLAs.
• Troubleshoot pipeline failures, data-quality anomalies, and performance bottlenecks, diagnosing root causes and implementing fixes without service disruption.
• Validate that implemented pipelines meet data contracts, schema standards, and access-control policies defined by data architects and governance teams.
• Optimize pipeline performance and cloud infrastructure costs by profiling job runtimes, partitioning strategies, and resource configurations.
• Document pipeline designs, data lineage, and operational runbooks in shared repositories accessible to data consumers and support teams.
• Coach less-experience colleagues on data-engineering patterns, testing practices, and cloud-platform tooling used in the assigned domain.

WHO YOU ARE:

Required -

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field, 6+ years of experience
• Proficiency in SQL, Python, PySpark, Spark, or another Programming language, such as Java, Scala or R
• Proven experience building highly scalable, performant, resilient, and cost-optimized data pipelines
• Experience with modern data processing frameworks, such as Snowflake, Databricks, or AWS SageMaker Unified Studio
• Hands-on experience with core AWS services, including Amazon S3, IAM, Lake Formation, AWS Glue, Lambda, and related services required to build, operate, and secure end-to-end data solutions
• Strong understanding of relational databases and modern lakehouse table formats (Apache Iceberg, Delta Lake)
• Expertise in design, build, maintain and document conceptual, logical, and physical data models
• Sound understanding of data governance principles, access control, data cataloging, lineage, encryption, auditability, and compliance requirements. Ability to implement secure cloud environments and role-based access controls using IAM and Lake Formation.

Preferred –

• Familiarity with the concept of Retrieval-Augmented Generation (RAG) data pipelines
• Familiarity with data architecture patterns, such as data hub, mesh, or fabric
• Experience with RESTful APIs and data integration
• Familiarit with the Data Product concept and hands-on implications
• Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified)
• Demonstrated experience with Terraform for infrastructure automation, together with Git, GitHub, GitHub Actions, and CI/CD practices.
• Experience with GxP and computerized system validation

Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here

https://www.bayer.com/enfstrategyfstrategy

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.

Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at HROP_INDIA@BAYER.COM.