Job Summary

Your Role: Junior Databricks Platform Engineer

We are looking for a Junior Databricks Platform Engineer to join our Data Storage team and support the operation, governance, reliability and optimization of our Databricks platform.

You will work closely with the Data Storage Tech Lead and experienced platform engineers, as well as Data Engineering, Cloud/Infrastructure, Security and Governance teams. The role provides an opportunity to develop hands-on experience in operating and improving a production Databricks platform, with appropriate guidance and support.

Responsibilities

- Support the day-to-day operation and maintenance of Databricks workspaces, compute, SQL warehouses and jobs.
- Monitor platform health, utilisation and workload performance, and investigate operational issues with guidance from experienced engineers.
- Support platform upgrades, configuration changes and adoption of current Databricks capabilities.
- Support the team's established IT Service Management (ITSM) processes by appropriately owning, tracking, updating, and closing incidents/service requests from our stakeholders within the expected service levels.
- Troubleshoot platform, compute, job and workload issues, escalating complex issues to senior engineers when required.
- Support incident investigation, root-cause analysis and implementation of corrective actions.
- Maintain operational runbooks, documentation, monitoring and alerting with guidance from senior engineers.
- Support compute policies, tagging and other cost-management practices.




- Support automation of routine Databricks administration and operational activities.
- Develop and maintain scripts, tools and documentation that improve day-to-day platform operations
- Work closely with Data Engineers to support reliable, secure and efficient Databricks workloads.

What You Need to Succeed (minimum qualifications)

- 2-3 years of experience in data engineering, data platforms, cloud engineering or a related field.
- Hands-on experience with the Databricks platform through skilled work, projects or production environments.
- Working knowledge of Apache Spark/PySpark and SQL.
- Basic understanding of Databricks platform operations, compute, jobs and SQL warehouses.
- Familiarity with Databricks Unity Catalog, permissions, identities and access controls.

What will give you a competitive edge (preferred qualifications)

- Exposure to cloud platforms such as AWS, Azure or GCP.
- Familiarity with the following additional data platform-related services within the Azure Cloud platform would be beneficial: Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Key Vault, Azure Logic App, and Azure SQL Server.
- Familiarity with Git, CI/CD and basic automation practices.
- Good problem-solving and troubleshooting skills.
- Strong willingness to learn and develop platform engineering skills.

Additional Information

- Travel: 0%
- Location: Bangalore, India

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Junior Databricks Platform Engineer (Bengaluru)
🏢 Elanco
📍 Bengaluru