Data Engineer

We are looking for an experienced Data Engineer (5 years) with strong hands-on expertise in Databricks, DLT, PySpark, Python, SQL, and CI/CD for our client. Key Responsibilities & Requirements Databricks DLT: Hands-on experience in creating, executing, troubleshooting, and maintaining DLT pipelines , particularly for real-time data — Mandatory . Unit Testing: Hands-on experience with PyTest, mocking, unit testing, and integration testing — Mandatory . PySpark: Strong experience with DataFrames, joins, transformations, and aggregations . Python & SQL: Strong hands-on experience in both Python and SQL — Mandatory . Git: Experience with branching, commit, push, pull, and merge . Bamboo / CI-CD: Experience with build and deployment processes . Repository / Code Review: Experience with PR creation, code review, and code push . JIRA: Experience with ticket creation, bug tracking, and sprint workflows . Deployment & Debugging: Experience managing Dev → QA → Prod deployment flows and troubleshooting issues across environments.