Azure Data Factory

About Company

About Client:

• Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.
• Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.
• Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Job Title:-

• Location

  :PAN India

• Experience

  : 6

• Job Type

  : Contract to hire.

• Notice Period

  :- Immediate joiners.

Mandatory Skills

JD:-

Primary Skills - ADF, sql ( sql /plsql highly recommended) ,T-sql

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.