Job Description
Azure Data Engineer - Immediate Joiners Only
nYears of Experience - Min 3 and Max upto 7
nBangalore / Pune/ Mumbai/ Gurgaon
nJob Description
nLooking 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.
nThis 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 setting.
nYou will collaborate closely with architects, analytics teams, QA, DevOps, and business stakeholders in a global delivery model.
nMust have skills
nHands‑on experience delivering Azure‑based data engineering solutions
nCloud & Data Engineering (Azure)
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nStrong hands‑on experience with Azure data services, including:
nAzure Data Lake Storage Gen2 (ADLS)
nAzure Data Factory (ADF)
nAzure Databricks
nAzure Synapse Analytics
n





nExperience designing cloud‑native data lakes and analytical data stores
nSolid understanding of batch data pipelines and basic streaming concepts
n

nSQL & Python (Mandatory)
nStrong SQL skills (mandatory)
nWriting complex queries, joins, aggregations, and transformations
nHands‑on experience working with large datasets in Synapse / Databricks
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nStrong Python skills (mandatory)
nPython for ETL / ELT and data engineering use cases
nHands‑on experience with PySpark in Databricks
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nStrong understanding of data modeling, transformations, and query performance tuning
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nData Processing & Engineering
nHands‑on experience with Spark / PySpark on Databricks
nExperience handling structured and semi‑structured data
nUnderstanding of partitioning, schema evolution, and data validation concepts
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nDevOps & Platform Basics
nWorking knowledge of Infrastructure as Code (ARM Templates and

📌 Azure Data Engineer (Bengaluru)
🏢 Dentsu Global Services
📍 Bengaluru