We are seeking a skilled Databricks Developer with strong expertise in designing, developing, and optimizing modern data solutions on the Databricks platform. The ideal candidate will have hands-on experience across data engineering, pipeline development, data modeling, visualization, governance, and DevOps practices. Key Responsibilities: Design, build, and maintain scalable data solutions using the Databricks platform. Develop and optimize batch and streaming data pipelines using Apache Spark, Python, and SQL. Implement modern data pipelines using Spark Declarative Pipelines (SDP), including streaming tables, materialized views, and embedded data quality rules. Apply ETL design patterns and best practices for robust and effective data processing. Design and manage data models using medallion architecture, dimensional modeling, and Delta Lake optimization techniques. Create and maintain dashboards and visualizations using Databricks SQL, Lakeview dashboards, notebook charting libraries, and BI tools such as Power BI and Tableau. Manage Databricks workspaces, cluster configurations, notebooks, and Unity Catalog for secure and governed data access. Implement CI/CD pipelines, job orchestration using Lakeflow Jobs,



and deployment automation with Asset Bundles. Ensure compliance with governance and security standards through Unity Catalog permissions, row/column-level security, and audit logging. Collaborate with cross-functional teams to deliver high-quality, scalable, and secure data solutions. Required Skills & Qualifications: Strong knowledge of Databricks platform fundamentals, including workspaces, clusters, notebooks, and Unity Catalog. Proficiency in Python, SQL, and Apache Spark (batch and streaming). Hands-on experience with Delta Lake and modern ETL/data engineering design patterns. Experience with Spark Declarative Pipelines (SDP). Good understanding of data modeling techniques, including medallion architecture and dimensional modeling. Experience in developing dashboards and reports using Databricks SQL, Lakeview, Power BI, or Tableau. Familiarity with DevOps practices, including CI/CD and deployment automation. Knowledge of data governance and security concepts within Databricks. Preferred Skills: Experience with MLflow, Terraform, and REST APIs.

Exposure to cloud platforms such as AWS, Azure, or GCP.

📌 Databricks Developer (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru