Azure Data Factory Engineer

About Company :

Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida.

· Job Title: "Azure Data Factory ".

· Location: Pune or Pan India.

· Experience: 9 + Year's.

· Job Type : Contract to hire.

· Notice Period:- Immediate joiner's.

• Mandatory Skill Experience :

• Azure Data Factory,
• Proficiency in T-SQL and SQL Server (SSMS, stored procedures, indexing, optimization).
• Experience with Azure SQL Database, Azure Synapse Analytics, or Data Lake.
• Familiarity with parameterization, dynamic content, and data flows in ADF.
• Understanding of data warehousing concepts, ETL best practices, and data modeling.
• Experience with Git, Azure DevOps, or other version control systems.

• Key Responsibilities:

• Design, develop, and maintain ETL pipelines using Azure Data Factory.
• Write complex SQL queries, stored procedures, and performance-tuned scripts for data transformation and validation.
• Integrate data from various sources including Azure Blob Storage, SQL Server, REST APIs, and on-premise systems.
• Monitor and troubleshoot data pipelines and workflows to ensure data quality and reliability.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Implement data governance, security, and compliance best practices.
• Participate in code reviews, CI/CD processes, and agile ceremonies.

• Required Skills & Qualifications:

• Strong hands-on experience with Azure Data Factory (pipelines, triggers, linked services, datasets).
• Proficiency in T-SQL and SQL Server (SSMS, stored procedures, indexing, optimization).
• Experience with Azure SQL Database, Azure Synapse Analytics, or Data Lake.
• Familiarity with parameterization, dynamic content, and data flows in ADF.
• Understanding of data warehousing concepts, ETL best practices, and data modeling.
• Experience with Git, Azure DevOps, or other version control systems.

• Preferred Qualifications:

• Microsoft Certified: Azure Data Engineer Associate or equivalent.
• Experience with Power BI, Databricks, or Logic Apps is a plus.
• Knowledge of Python or PowerShell for automation.