Sr Data Engineer

Job highlights

• Proven experience with Infrastructure as Code,preferably Terraform,and CI / CD tooling such as Databricks Asset Bundles,GitHub Actions,Azure DevOps,or GitLab
• At least five years of experience in data engineering,DataOps,DevOps,or a comparable technical role
• Advanced hands-on experience with Python,PySpark,SQL,Git,and Databricks
• Experience with AWS or GCP is beneficial

Senior Data Engineer

Job Summary

Position Purpose: The Data Analytics organization enables Bayer s Corporate Functions-including Finance, Supply Chain Logistics, HR, Procurement, Legal, and Sustainability-to become more insight and data-driven. Our mission is to deliver a robust data foundation and FAIR-Findable, Accessible, Interoperable, and Reusable-data assets that improve business decision-making.

Responsibilities

• Design, build, and maintain scalable, reliable, and cost-efficient data pipeline architectures.

• Develop idempotent, automated ETL/ELT pipelines using Python, PySpark, Delta Lake, and MERGE INTO patterns.

• Drive automation across deployments, monitoring, incident remediation, and operational processes to improve efficiency, quality, and reliability.

• Implement robust DataOps practices, including data-contract enforcement, automated data-quality checks, and unit and integration testing.

• Establish fine-grained data governance, lineage tracking, and security access controls across environments using Unity Catalog.

• Define and manage Infrastructure as Code using Terraform and Azure DevOps for Databricks workspaces, compute clusters, serverless SQL warehouses, and storage integrations.

• Build and maintain automated CI/CD pipelines using Databricks Asset Bundles, Databricks CLI, GitHub Actions, Azure DevOps, or GitLab.

• Monitor compute consumption and costs, optimize cluster configurations, and implement cluster policies to promote efficient resource utilization.

  Requirements

• At least five years of experience in data engineering, DataOps, DevOps, or a comparable technical role.

• Advanced hands-on experience with Python, PySpark, SQL, Git, and Databricks.

• Strong experience with the Databricks ecosystem, including Delta Lake, Unity Catalog, and Databricks Serverless SQL.

• Proven experience with Infrastructure as Code, preferably Terraform, and CI/CD tooling such as Databricks Asset Bundles, GitHub Actions, Azure DevOps, or GitLab.

• Experience implementing data-quality controls, data contracts, automated testing, monitoring, and incident-management practices.

• Strong knowledge of Azure cloud services, including security, networking, identity and access management, and storage integration. Experience with AWS or GCP is beneficial.

  Location

Bangalore

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