Azure data factory developer

Greetings from TCS!!!

TCS is hiring Azure Data Factory Developer / Lead

Job Title: Azure Data Factory Developer / Lead

Experience: 6-15 years

Mode of Interview: Walk in

Location: Hyderabad/Chennai/Pune/Bangalore/Kolkata

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, Power Shell, 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 No SQL databases. Data Science: Experience with data science tools, including Python, R,