Data Engineer ( Azure )

Overview

🚀 Hiring: Data Engineer ( Azure )

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

• Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)
• Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing
• Develop Structured Streaming pipelines with watermarking, late data handling & restart safety
• Implement declarative pipelines using Lakeflow
• Design idempotent, replayable pipelines with safe backfills
• Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)
• Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications
• Package and deploy using Databricks Repos & Asset Bundles (CI/CD)
• Ensure governance using Unity Catalog and embedded data quality checks
  
  

✅ Mandatory Skills (Must Have)

• Databricks & Delta Lake (Advanced Optimization & Performance Tuning)
• Structured Streaming & Autoloader Implementation
• Databricks SQL (DBSQL) & Data Modeling for Analytics
  
  

Skills:- Windows Azure, databricks, Lakeflow, DBSQL, Data-flow analysis and Synapse