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, 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,