Data Factory Specialist

2 weeks ago

Alwar, Rajasthan, India beBeeData Full time ₹ 26,46,000 - ₹ 42,29,000

About Us : We're a team that combines innovation with an open and collaborative culture, guiding our customers from the present to the future by unlocking the value of their data and applications. This enables us to achieve outcomes that benefit both businesses and society.

About the Role:

  • Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India.

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)

Key Responsibilities:

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

Required Skills & Qualifications:

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

Preferred Qualifications:

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

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