Junior Databricks Platform Engineer

•            2–3 years of experience in data engineering, data platforms, cloud engineering or a related field.

•            Hands-on experience with the Databricks platform through professional 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.

•            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.

•            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 new 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.

• Travel: 0%
• Location: India, Bangalore

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