Looking for a hands‑on Senior Data Engineer – Azure & Databricks with up to 6 years of total experience to build, optimize, and maintain scalable cloud data platforms.

This is an individual contributor role, focused on developing reliable data pipelines and analytics‑ready datasets using Microsoft Azure and Databricks. The role requires strong hands‑on expertise in SQL and Python, along with experience building batch (and basic streaming) data pipelines in a cloud environment.

You will collaborate closely with architects, analytics teams, QA, DevOps, and business stakeholders in a global delivery model.

Must have skillsHands‑on experience delivering
Azure‑based data engineering solutions

Cloud & Data Engineering (Azure)

Strong hands‑on experience with Azure data services, including:

Azure Data Lake Storage Gen2 (ADLS)

Azure Data Factory (ADF)

Azure Databricks

Azure Synapse Analytics

Experience designing cloud‑native data lakes and analytical data stores

Solid understanding of batch data pipelines and basic streaming concepts

SQL & Python (Mandatory)





Strong SQL skills (mandatory)

Writing complex queries, joins, aggregations, and transformations

Hands‑on experience working with large datasets in Synapse / Databricks

Robust Python skills (mandatory)

Python for ETL / ELT and data engineering use cases

Hands‑on experience with
PySpark
in Databricks

Strong understanding of data modeling, transformations, and query performance tuning

Data Processing & Engineering

Hands‑on experience with Spark / PySpark on Databricks

Experience handling structured and semi‑structured data

Understanding of partitioning, schema evolution, and data validation concepts

DevOps & Platform Basics

Working knowledge of Infrastructure as Code (ARM Templates and/or Terraform)

Basic experience with CI/CD pipelines (Azure DevOps or GitHub Actions)

Understanding of logging and monitoring using Azure Monitor / Log Analytics

Collaboration

Ability to work effectively with archi

📌 Data Engineer (Mumbai)
🏢 dentsu
📍 Mumbai