Cloud Data Engineer Position Available

2 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 30,00,000 - ₹ 36,00,000

About Us : We balance innovation with an open, friendly culture and the backing of a long-established organization known for its ethical reputation. Our goal is to unlock the value of data and applications to solve digital challenges, achieving outcomes that benefit both business and society.

About Client:

  • Our client operates globally in various major industry sectors including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In recent years, the company has achieved significant growth with a strong order inflow and expanding service lines.

Job Title:-- Cloud Data Engineer

  • Location:PAN India
    • Experience: 6
      • Job Type : Contract to hire.
        • Notice Period:- Immediate joiners.

Mandatory Skills: ADF, sql ( sql /plsqlT-sql)

JD:-

Primary Skills - ADF, sql ( sql /plsql highly recommended) ,T-sql

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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