6 days ago
Bengaluru, IndiaSenior
Responsibilities
- Lead development and operation of reliable clinical data pipelines and services.
- Collaborate with stakeholders to capture data requirements, dependencies, and fit-for-purpose technical solutions.
- Design and implement integration patterns, FAIR data principles, semantics, and scalable data landscape components.
- Collaborate with infrastructure experts on secure, efficient infrastructure-as-code and composable architecture.
- Mentor colleagues and uphold standards for requirements, code review, testing, documentation, metadata, and lineage.
- Enable compliant and secure data consumption by humans, systems, and AI agents.
Requirements
- Bachelor’s degree in computer science, data science, information technology, or a related field.
- At least 8 years of experience in data engineering, data operations, or a similar role delivering production-grade data pipelines and services.
- Proficiency with Databricks, including DBX Asset Bundles, Lakeflow Jobs, Unity Catalog, access control and governance, and Databricks CLI.
- Experience with API design and integrating source-system data through interfaces such as OpenSharing/Delta Sharing, Iceberg-Sharing, ODBC, GraphQL, OData, REST, and event streaming.
- Strong data, software, or cloud engineering skills and proficiency in Python, especially PySpark and Kapitan.
- Experience with Git, GitHub Actions, declarative YAML CI/CD pipelines, branching strategies, and trunk-based development.
- Understanding of data security principles, strong analytical and communication skills, independent collaboration, and attention to detail.
- Preferred experience includes GxP validation, Computerized Systems Validation, requirements engineering, Terraform on AWS, FAIR and Linked Data principles, Data Mesh architecture, semantic layers, MCP servers, GraphRAG, GDPR, CCPA, cloud engineering, and pharmaceutical data domains.
Benefits
- Position based in Bangalore, Karnataka, India.
- Bayer describes a Dynamic Shared Ownership working model focused on productivity, innovation, and results.
- Bayer is an equal opportunity employer committed to fairness and respect at work.
Categories
Data Engineering
About Bayer
Bayer is a global life-sciences company that develops and sells prescription pharmaceuticals, consumer health brands (including Aspirin), and agricultural seeds, traits, and crop-protection products, plus digital farming tools, for patients, consumers, and farmers. It is a public company founded in 1863 and headquartered in Leverkusen, Germany. Bayer acquired Monsanto in 2018, making Crop Science one of its three core businesses alongside Pharmaceuticals and Consumer Health.