Cloud Engineer
Skills
About This Role
Additional Benefits
- : (Abu Dhabi) Employee Visa, Medical Insurance, Annual Airfare & 15 Days Accommodatio
- n
- About the Rol
- e:
- This role is responsible for building reliable, scalable, and governed data pipelines that power analytics, operational reporting, and the Data Intelligence Layer on Databricks.
- The ideal candidate should have strong expertise in Azure Data Engineering, Databricks Lakehouse architecture, streaming data pipelines, and cloud-native data processing framework
- s.
Key Responsibiliti
- es:
- Build batch pipelines using Delta Lake with optimized table design, partitioning, Z-ORDER, OPTIMIZE, and VACUUM strategies.
- Implement incremental ingestion using Databricks Auto Loader with schema evolution and checkpointing.
- Develop Structured Streaming pipelines with watermarking, state management, and restart safety. Implement Lakeflow pipelines for governed and declarative data processing.
- Design replayable and idempotent pipelines supporting safe backfills.
- Optimize Spark workloads using Adaptive Query Execution, shuffle tuning, skew mitigation, and join optimization.
- Build analytics-ready datasets consumed by Databricks SQL, dashboards, Genie, and downstream applications.
- Develop DBSQL models and semantic data layers aligned with Data Intelligence requirements.
- Package and deploy solutions using Databricks Repos and Asset Bundles.
- Support Synapse-to-Databricks migration initiatives and performance benchmarki
- ng.
Mandatory Technical Ski
lls:
• Azure Data Factory (ADF)
- Unity Catalog
• Databricks Asset Bundles
- Medallion Architecture
- PySpark
• Real-Time Streaming & Structured Streaming
- Lakeflow Pipelines
- Delta Lake
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