Description
Databricks Platform Engineering ● Design, build, and maintain Databricks workspaces, clusters, and compute pools across dev/test/prod environments. ● Configure and manage Databricks Unity Catalog for data governance, access control, fine-grained permissions, and data lineage. ● Optimize cluster configurations — instance types, auto-scaling policies, spot/preemptible nodes — for cost and performance. ● Implement workspace-level best practices: folder structures, access controls, secret management (Databricks Secrets / Azure Key Vault / AWS Secrets Manager). ● Manage Databricks jobs, workflows, and multi-task job orchestration with dependency management. Delta Lake & Lakehouse Architecture ● Design and implement Delta Lake tables with appropriate partitioning, Z-ordering, and file compaction (OPTIMIZE / VACUUM). ● Build Medallion Architecture (Bronze / Silver / Gold) layers for structured data lake organization. ● Implement Delta Live Tables (DLT) pipelines for declarative, reliable ETL/ELT with built-in data quality expectations. ● Manage schema evolution,
table versioning, time travel, and Change Data Feed (CDF) for incremental processing. ● Design data lakehouse patterns integrating Delta Lake with external systems (Kafka, ADLS, S3, GCS).
Data Pipeline Development (PySpark / SQL) ● Develop scalable batch and streaming data pipelines using PySpark, Spark SQL, and Delta Lake. ● Build structured streaming pipelines for real-time ingestion from Kafka, Event Hubs, and Kinesis into Delta tables. ● Write optimized PySpark transformations leveraging broadcast joins, adaptive query execution (AQE), and energetic partition pruning. ● Create reusable transformation libraries, utility frameworks, and pipeline templates for team productivity. ● Implement robust error handling, retry logic, and dead-letter queue patterns in production pipelines. MLflow & AI/ML Workloads ● Set up and manage MLflow tracking servers, experiment registries, and model lifecycle management
📌 Senior Databricks Engineer (Pune)
🏢 EXL
📍 Pune