Data Engineer

About the Position

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

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.

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-experienced colleagues on data-engineering patterns, testing practices, and cloud-platform tooling used in the assigned domain.

Requirements

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
• Familiarity 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

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional development and growth opportunities
• Collaborative and inclusive work culture

About the Company

Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation, etc. We are committed to treating all applicants fairly and avoiding discrimination.

Location

India : Karnataka : Bangalore

Division

Enabling Functions

Reference Code

894554

Contact Us

• 022-25311234

Job Segment

Data Architect, Engineer, Database, Computer Science, Java, Data, Engineering, Technology

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