Azure Data Engineer at Deqode Ā· Pune Ā· 5 - 6 years Ā· ā¹4L - ā¹10L / yr Ā· Bootstrapped Ā· Posted 23 Mar 2026

š Hiring:Ā Data Engineer ( Azure ) at Deqode
ā Experience: 5+ Years
š Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,
ā Work Mode:- Hybrid
ā±ļø Notice Period: Immediate Joiners
(Only immediate joiners & candidates serving notice period)
ā Hiring: Databricks Data Engineer ā Lakeflow | Streaming | DBSQL | Data Intelligence
We are looking for a Databricks Data Engineer ( Azure ) to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.
š¹ Key Responsibilities
ā Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)
ā Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing
ā Develop Structured Streaming pipelines with watermarking, late data handling & restart safety
ā Implement declarative pipelines using Lakeflow
ā Design idempotent, replayable pipelines with safe backfills
ā Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)
ā Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications
ā Package and deploy using Databricks Repos & Asset Bundles (CI/CD)
Ensure governance using Unity Catalog and embedded data quality checks
ā Mandatory Skills (Must Have)
š Databricks & Delta Lake (Advanced Optimization & Performance Tuning)
š Structured Streaming & Autoloader Implementation
š Databricks SQL (DBSQL) & Data Modeling for Analytics

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