Back
Metro mid-level Databricks/data engineer role with common skillset and moderate employer brand.
Transferable across industries but requires Databricks/Snowflake platform experience.
Requires Databricks, Delta Lake, Spark and Snowflake production experience but no explicit years.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Optimize and manage Databricks clusters for performance, cost, and scalability including autoscaling and runtime tuning.
Implement and maintain Delta Lake storage optimizations to ensure efficient large-scale analytical workloads.
Provide operational support during mission-critical processing, manage incident resolution, and ensure platform stability in integrated Snowflake-Databricks environments.
Hands-on experience with Databricks cluster management and performance tuning.
Strong knowledge of Delta Lake and data optimization techniques.
Experience monitoring, troubleshooting, and supporting production workloads, including incident management and root cause analysis.
Proficiency in SQL and Spark (PySpark or Scala).
Experienced in handling critical data processing operations with focus on platform reliability and incident management.
Skilled in integrating and optimizing Snowflake-Databricks ecosystems in production environments.
Capable of balancing cost and performance in cloud-based data platforms with strategic use of resources like spot and on-demand instances.