Azure Data Factory Professional

2 weeks ago

Anantapur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,06,61,580 - ₹ 1,39,26,970

About our client : They balance innovation with an open, friendly culture and the backing of a long-established partner 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 the role:

  • Our team is looking for a skilled professional to design, develop, and maintain ETL pipelines using Azure Data Factory.

Key Responsibilities:

  • Data Engineering: Design, develop, and maintain ETL pipelines using Azure Data Factory.
  • Database Administration: Write complex SQL queries, stored procedures, and performance-tuned scripts for data transformation and validation.
  • Integration: Integrate data from various sources including Azure Blob Storage, SQL Server, REST APIs, and on-premise systems.
  • Monitoring and Troubleshooting: 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.

Required Skills & Qualifications:

  • Azure Data Factory: 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 and Synapse Analytics: Experience with Azure SQL Database, Azure Synapse Analytics, or Data Lake.
  • ADF Parameters and Flows: 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 Systems: Experience with Git, Azure DevOps, or other version control systems.

Preferred Qualifications:

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

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