Big Data Transformation Specialist

3 days ago


Rajkot, Gujarat, India beBeeData Full time ₹ 96,00,000 - ₹ 1,29,90,000
About the Role

We are seeking an experienced professional to design, develop, and maintain ETL pipelines using Azure Data Factory. As a key member of our team, you will be responsible for writing complex SQL queries, stored procedures, and performance-tuned scripts for data transformation and validation.

You will integrate data from various sources including Azure Blob Storage, SQL Server, REST APIs, and on-premise systems, monitoring and troubleshooting data pipelines and workflows to ensure data quality and reliability.

Collaborate with data architects, analysts, and business stakeholders to understand data requirements and implement data governance, security, and compliance best practices.

  • 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.
Requirements
  • 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.
Benefits
  • 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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