Senior Data Pipelines Specialist

4 days ago

Udaipur, Rajasthan, India beBeeDataEngineer Full time ₹ 8,00,000 - ₹ 12,34,567

About People Prime Worldwide : Our company balances innovation with an open, friendly culture and the backing of a long-established parent 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.

Job Title: Azure Data Factory

  • Key Responsibilities:

We are seeking an experienced Azure Data Factory professional to join our team. The ideal candidate will have strong hands-on experience with Azure Data Factory (pipelines, triggers, linked services, datasets).

  • 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.

Mandatory Skills: ADF, sql (sql/plsql/T-sql)

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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