Azure Data Engineer - Immediate Joiners OnlyYears of Experience - Min 3 and Max upto 7Bangalore / Pune/ Mumbai/ GurgaonJob DescriptionLooking 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 solutionsCloud & Data Engineering (Azure)

Strong hands‑on experience with Azure data services, including:Azure Data Lake Storage Gen2 (ADLS)Azure Data Factory (ADF)Azure DatabricksAzure Synapse Analytics

Experience designing cloud‑native data lakes and analytical data storesSolid understanding of batch data pipelines and basic streaming concepts

SQL & Python (Mandatory)Strong SQL skills (mandatory)Writing complex queries, joins, aggregations, and transformationsHands‑on experience working with large datasets in Synapse / Databricks

Strong Python skills (mandatory)Python for ETL / ELT and data engineering use casesHands‑on experience with PySpark in Databricks

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

Data Processing & EngineeringHands‑on experience with Spark / PySpark on DatabricksExperience handling structured and semi‑structured dataUnderstanding of partitioning, schema evolution, and data validation concepts





DevOps & Platform BasicsWorking 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

CollaborationAbility to work effectively with architects, QA, DevOps, and business stakeholdersGood communication skills for explaining technical concepts clearlyGood to have skillsExposure to streaming technologies such as Azure Event Hubs or KafkaFamiliarity with Lakehouse architecture and Delta Lake conceptsExperience integrating Azure data platforms with BI tools (Power BI preferred)Basic knowledge of data governance and data quality frameworksAwareness of Azure cost‑optimization best practicesExperience working in Agile delivery models, especially with global clientsKey responsibiltesData Engineering & Development

Build scalable ETL / ELT pipelines using Azure and DatabricksDevelop SQL‑based transformations and Python / PySpark pipelinesIngest and process data using ADF, Databricks, and ADLSBuild analytics‑ready data models optimized for performance and cost

Platform & OperationsSupport deployment and execution of data pipelines across environmentsMonitor data pipeline health, performance, and data qualityTroubleshoot pipeline failures and perform root‑cause analysisFollow Azure security, reliability, and scalability best practices

Collaboration & DeliveryWork closely with architects and product teams to understand requirementsTranslate business and analytics needs into working Azure data solutionsContribute to documentation, code reviews, and engineering standardsEducation Qulification1. Bachelor’s or Master Degree or equivalent DegreeCertification If Any1. Microsoft Certified: Fabric Data Engineer Associate2.Microsoft Certified: Azure Solutions Architect Expert3. Snowflake CoreShift timing12 PM to 9 PM and / or 2 PM to 11 PM - IST time zoneShift timing12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

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