Exp: 3 - 6 years
Shift time: 02.00 P.M. to 11.00 P.M
Location: Bangalore, Mumbai, Pune & Gurgaon
Notice Period: Immediate to 30 Days only
Shift timing : 2 PM to 11 PM - IST time zone
Job Description
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 skills
Hands‑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)
📌 Azure Data Engineer (Bengaluru)
🏢 Dentsu Global Services
📍 Bengaluru
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