Azure Data Factory

2 days ago

Dombivli, Maharashtra, India People Prime Worldwide Full time

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

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:-- Azure Data Factory SQL

  • Location:PAN India
    • Experience: 6
      • Job Type : Contract to hire.
        • Notice Period:- Immediate joiners.

Mandatory Skills: ADF, sql ( sql /plsqlT-sql)

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.

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