Job Title Databricks. We are looking for a highly skilled Databricks Engineer to design, build, optimize, and maintain large-scale data processing pipelines and analytics workloads on the Databricks platform. This role requires strong hands-on experience with Databricks Jobs, Delta Tables, Pipelines, Spark SQL, AWS integrations, Genie workflows, and Databricks features such as Unity Catalog, Delta Lake optimizations, Workflow orchestration, and advanced cluster management. The ideal candidate has both data engineering and cloud engineering expertise. Key Responsibilities Databricks Platform Engineering

- - ild, configure, and maintain Databricks Jobs, Workflows, Pipelines, and Delta Tables.
- - velop scalable high-performance ETL pipelines using PySpark, SQL, and Databricks notebooks.
- - ply optimization techniques - SQL queries, Delta Lake tables, partitioning strategies, liquid clustering.
- - sure workflows scale efficiently and maintain reliability.
- - nage cluster performance, job debugging, resource auto-scaling.
- - cument workflows,



data models
- - ild, publish and maintain Databricks Dashboards
- - ply the Databricks Backup and restore methods based on requirements.
- Security, Governance & Compliance
- - plement Unity Catalog, data lineage, access controls, and governance best practices.
- - nage secrets, tokens, and secure integrations.
- - sure compliance with enterprise security and data governance standards.
- AWS & Databricks Integration
- - tegrate Databricks with AWS services (S3, EC2, IAM).
- - nage roles, secure data lake permissions.
- - timize cluster configuration for cost, performance, and scalability on AWS.
- Required Skills

Technical Skills - Working with Genie, debugging skills, CI/CD experience and valuable understanding of networking and security practices. Soft Skills - Problem solving, Ownership mindset and communication Databricks certification is needed

📌 Databricks (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru