Senior Databricks Engineer
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Build Delta Live Tables pipelines
- Build and optimize Databricks pipelines
- Configure Unity Catalog governance and access control
- Design and implement Delta Lake tables
- Design data lakehouse solutions on Databricks
- Develop batch and streaming pipelines with PySpark and Spark SQL
- Implement error handling retry logic and dead letter queue patterns
- Implement medallion architecture bronze/silver/gold
- Ingest real time data from Kafka Event Hubs and Kinesis into Delta
- Maintain Databricks workspaces clusters and compute pools
- Manage Databricks jobs workflows and orchestration
- Manage schema evolution table versioning time travel and change data feed
- Optimize cluster configurations for cost and performance
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Adaptive Query | Adaptive query execution | Amazon Kinesis | Amazon S3 | Apache Kafka | Auto Scaling | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Event | Azure Event Hubs | Broadcast Join | Change Data Feed | Cloud Storage | Cluster auto-scaling | Data Governance | Data Lake Storage | Data Lineage | Data Partitioning | Data feed | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Event Hubs | Google Cloud | Google Cloud Storage | Medallion Architecture | PySpark | Query Execution | Schema evolution | Spark SQL | Spot instances | Time Travel | Unity Catalog | Z-ordering
Education
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