Job Description

?? Job Title: Azure Data Engineer\n?? Location: [Mumbai / Pune / Bangalore / Hyderabad – Hybrid]\n?? Experience: 4–6 Years\n?? Employment Type: Full-Time\n\n?? About the Role\n\nWe are looking for a skilled and detail-oriented Azure Data Engineer to join our growing data engineering team. The ideal candidate will have strong experience in building scalable data pipelines, working with Azure cloud services, and supporting enterprise-grade data platforms.\n\n??? Key Responsibilities\nDesign, develop, and maintain scalable data pipelines using Azure services\nBuild and optimize ETL/ELT workflows using Azure Data Factory (ADF) and Azure Databricks\nDevelop and manage data solutions on Azure Data Lake, Azure Synapse Analytics, and Azure SQL\nCreate and maintain Databricks notebooks using PySpark, Databricks SQL, and Delta Lake\nHandle structured and semi-structured data transformation (JSON, Parquet, XML, CSV, etc.)\nCollaborate with cross-functional teams to understand data requirements and deliver solutions\nMonitor, troubleshoot, and support production data pipelines ensuring SLA adherence\nImplement data warehousing concepts including Slowly Changing Dimensions (SCD)\nOptimize performance through partitioning, cluster tuning, and efficient data processing techniques\nSupport migration projects from on-premise systems to Azure cloud\nEnsure data security and governance standards across Azure components\nImplement CI/CD pipelines for automated deployments using DevOps practices\nAnalyze existing systems and perform reverse engineering where required\nDesign conceptual, logical, and physical data models\n?? Required Skills & Expertise\nHands-on experience with:\nAzure Data Factory (ADF)\nAzure Data Lake\nAzure Synapse Analytics (MPP, Spark)\nAzure SQL Database\nAzure Logic Apps\nStrong programming skills in PySpark and SQL (CTEs, stored procedures, functions)\nExperience with Databricks and Delta Lake architecture\nGood understanding of:\nData Warehousing concepts\nETL/ELT processes\nData modeling techniques\nRelational & NoSQL databases\nExperience in data ingestion from various sources (FTP, SAP, RDBMS, APIs)\nFamiliarity with Agile methodologies and sprint-based delivery\nStrong analytical and problem-solving skills\n?? Additional Expectations\nExperience in handling large-scale data migrations (On-Prem to Cloud)\nAbility to optimize pipelines for varying data volumes\nUnderstanding of DevOps and CI/CD for data platforms\nStrong communication and stakeholder management skills\n?? Nice to Have\nMicrosoft Certified: Azure Data Engineer Associate (DP-203)\nDatabricks Data Engineering Certification\n?? Why Join Us?\nWork on cutting-edge cloud and big data technologies\nOpportunity to contribute to large-scale data transformation projects\nCollaborative and growth-oriented work environment\n?? Apply Now\n\n?? Email: Bitts.India@gmail.com\n?? Contact: 9834898276\n\nInterested candidates can share their profiles via email or reach out directly for more details.