[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Chennai # Azure Data Factory Chennai Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/424708J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Azure Data Factory ## Job description ### Job Title Azure Data Factory Developer / Lead Experience: 6-15 years Job Location: Pan India(Metro cities) ### 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. ### 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. ### 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. ### 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. ·