Walk-in || Azure Data Factory Developer

Job description

**Greetings from TCS!!!** **TCS is hiring Azure Data Factory Developer / Lead Job Title: Azure Data Factory Developer / Lead** **Experience: 6-12 years** **Mode of Interview: Walk in** **Location: Hyderabad/Chennai/Delhi/Pune/Vizag/Banglore/Kolkatta Date: 8th August '2026** **Job Summary:** An experienced Azure Data Factory (ADF) Developer / Lead to design, develop, and maintain data integration solutions using ADF, Azure Synapse Analytics, and other Azure data services. The ideal candidate should have a strong background in data engineering, ETL development, and cloud-based data platforms. Responsibilities: • Data Integration: Design, develop, and maintain data integration solutions using ADF, Azure Synapse Analytics, and other Azure data services. • ETL Development: Develop and optimize ETL workflows using ADF, Azure Databricks, and Azure Synapse Analytics. • Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using Azure Synapse Analytics. • Data Governance: Develop and maintain data governance policies, procedures, and standards for Azure data services. • Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality. Required Skills: • Azure Data Factory: In-depth knowledge of ADF, including data integration, ETL development, and pipeline orchestration. • Azure Synapse Analytics: Strong understanding of Azure Synapse Analytics, including data warehousing, data modeling, and data querying. • Azure Data Services: Familiarity with Azure data services, including Azure Databricks, Azure Cosmos DB, and Azure Blob Storage. • Expertise in Azure Stream Analytics & Event Hubs • Programming: Proficiency in programming languages, including Python, PowerShell, or SQL. • Communication: Excellent communication and collaboration skills. Preferred Skills: • Azure Certifications: Relevant certifications, such as Azure Data Engineer Associate or Azure Data Scientist Associate. • Cloud Experience: Experience with cloud-based data platforms, including AWS or Google Cloud. • Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases. • Data Science: Experience with data science tools, including Python, R,