Azure Data Factory Engineer

3 weeks ago


Pune, Maharashtra, India People Prime Worldwide Full time

About Company :

Our client is a global technology cons,ulting and digital solutions company, resulting from the merger . It focuses on helping businesses leverage digital technologies to reimagine business models, accelerate innovation, and drive growth. The company provides services across various industries, including digital transformation, consulting, and application development.

Role:Azure Data Factory Engineer

Experience : 5-12

Location:Pune or Pan india

Interview Mode : virtual:

Work mode : Hybrid

Job type: C2H

Immediate Joiner's :15 Day's

Mandatory Experience :5

Mandatory Skills: azure data factory,databrics,ETL Pipelines,sql, CI/CD processes,T-SQL,Power BI,

JD:

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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