Job DescriptionAzure Data Engineer - Immediate Joiners Only

NYears of Experience - Min3 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)

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

NAzure Data Lake Storage Gen2 (ADLS)

NAzure Data Factory (ADF)

NAzure Databricks

nAzure Synapse Analytics

NExperience designing cloud‐native data lakes and analytical data stores

NSolid understanding of batch data pipelines and basic streaming concepts

NSQL & Python (Mandatory)

NStrong SQL skills (mandatory)

NWriting complex queries, joins, aggregations, and transformations

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

NStrong Python skills (mandatory)

NPython for ETL / ELT and data engineering use cases

NHands‐on experience with PySpark in Databricks

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

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

NDevOps & Platform Basics





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

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

NUnderstanding of logging and monitoring using Azure Monitor / Log Analytics

NCollaboration

nAbility to work effectively with architects, QA, DevOps, and business stakeholders

NGood communication skillsfor explaining technical concepts clearly

NGood to have skills

nExposure to streaming technologies such as Azure Event Hubs or Kafka

NFamiliarity with Lakehouse architecture and Delta Lake concepts

NExperience integrating Azure data platforms with BI tools (Power BI preferred)

NBasic knowledge of data governance and data quality frameworks

NAwareness of Azure cost‐optimization best practices

NExperience working in Agile delivery models, especially with global clients

NKey responsibiltes

nData Engineering & Development

NBuild scalable ETL / ELT pipelines using Azure and Databricks

NDevelop SQL‐based transformations and Python / PySpark pipelines

NIngest and process data using ADF, Databricks, and ADLS

NBuild analytics‐ready data models optimized for performance and cost

NPlatform & Operations

nSupport deployment and execution of data pipelines across environments

NMonitor data pipeline health, performance, and data quality

NTroubleshoot pipeline failures and perform root‐cause analysis

NFollow Azure security, reliability, and scalability best practices

NCollaboration & Delivery

NWork closely with architects and product teams to understand requirements

NTranslate business and analytics needs into working Azure data solutions

NContribute to documentation, code reviews, and engineering standards

NEducation Qulification

N1. Bachelor's or Master Degree or equivalent Degree

NCertification If Any

n1. Microsoft Certified: Fabric Data Engineer Associate

N2.Microsoft Certified: Azure Solutions Architect Expert

N3. Snowflake Core

nShift timing

N12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

NShift timing

n12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

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