Found Description
We are looking for a hands‑on Databricks, DataOps Engineer(7-10 years of experience) who can operate across both data engineering and platform operations. This role requires deep expertise in Databricks along with strong DataOps practices to ensure scalable, reliable, and automated data pipelines. The ideal candidate is comfortable building complex workloads and managing the underlying platform components.
**Key Responsibilities:**
· Develop, optimize, and maintain data pipelines using **Databricks** (PySpark, SQL, Delta Lake).
· Implement DataOps best practices including CI/CD, automated testing, version control, and environment management.
· Manage Databricks platform operations: clusters, jobs, permissions, workspace configuration, and performance tuning.
· Build monitoring and observability for pipelines, data quality, and platform health.
· Troubleshoot production is...
**Key Responsibilities:**
· Develop, optimize, and maintain data pipelines using **Databricks** (PySpark, SQL, Delta Lake).
· Implement DataOps best practices including CI/CD, automated testing, version control, and environment management.
· Manage Databricks platform operations: clusters, jobs, permissions, workspace configuration, and performance tuning.
· Build monitoring and observability for pipelines, data quality, and platform health.
· Troubleshoot production is...