Specialist Position

20 hours ago

Rajahmundry, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 2,00,80,000 - ₹ 2,20,50,000
Job Title: Data Engineering Specialist

We are seeking a skilled Data Engineering Specialist to join our team. The ideal candidate will have strong hands-on experience with Azure Data Factory and proficiency in T-SQL.

The successful candidate will design, develop, and maintain ETL pipelines using Azure Data Factory, integrating data from various sources including Azure Blob Storage, SQL Server, and on-premise systems.

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.
  • Data 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.

Required Skills & Qualifications:

  • Azure Data Factory: Strong hands-on experience with Azure Data Factory (pipelines, triggers, linked services, datasets).
  • T-SQL: Proficiency in T-SQL and SQL Server (SSMS, stored procedures, indexing, optimization).
  • Azure Services: Experience with Azure SQL Database, Azure Synapse Analytics, or Data Lake.
  • ADF Knowledge: Familiarity with parameterization, dynamic content, and data flows in ADF.
  • Data Warehousing: 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:

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

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