Position

Databricks Data Engineer – Lakeflow, Streaming, DBSQL, Data Intelligence

Experience

5+ Years

Engagement Type

Contract

Location

Gurugram, Pune, Bangalore, Chennai, Hyderabad, Bhopal, Jaipur

Budget

Passport

Mandatory with minimum 1 year validity

UAN

Should be Validated and Mandatory

Role Description

This role builds reliable, scalable, and governed data pipelines that power analytics, operational reporting, and the Data Intelligence Layer on Databricks.

Primary Responsibilities

Build batch pipelines using Delta Lake with correct table design, partitioning strategy, OPTIMIZE, Z-ORDER, and VACUUM management

Implement incremental ingestion using Databricks Autoloader with schema evolution controls and checkpointing

Build Structured Streaming pipelines with watermarking, state handling, late-arriving data logic, and restart safety

Implement Lakeflow pipelines for declarative, governed data processing

Design pipelines to support idempotency, replayability, and protected backfills





Apply Databricks Runtime and Spark optimisations including adaptive query execution, skew mitigation, shuffle tuning, and join optimisation

Build curated and analytics-ready datasets consumed by Databricks SQL, Genie, dashboards, and downstream applications

Develop DBSQL views and models aligned with semantic consistency required by the Data Intelligence Layer

Package pipelines using Databricks Repos and Asset Bundles for CI/CD-driven deployments

Instrument pipelines with operational metrics and observability hooks

Secondary Responsibilities

Implement pipelines in compliance with Unity Catalog permissions and data contracts

Embed data quality checks defined by governance standards

Support Synapse to Databricks migrations including logic rewrite, validation, and performance benchmarking

Collaborate with DataOps to ensure deployment readiness and operational stability

📌 Databricks Data Engineer &ndash (Rajasthan)
🏢 Sparix Global
📍 Rajasthan