Data Engineer

4 - 6 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

Data Engineer


Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Azure Data Services.
  • Integrate data from various sources using

    SSIS

    or

    Snowflake

    , depending on project requirements.
  • Build efficient ETL/ELT workflows to support data warehousing, reporting, and analytics needs.
  • Optimize and monitor existing data pipelines for performance and reliability.
  • Collaborate with data analysts, architects, and business stakeholders to understand data requirements.
  • Ensure data quality, consistency, and security across the pipeline lifecycle.
  • Implement best practices for cloud data engineering and participate in code reviews.
  • Maintain documentation related to data processes, architecture, and standards.



Required Skills & Experience:

  • 4 to 6 years

    of relevant experience in Data Engineering.
  • Strong hands-on experience in

    Microsoft Azure

    (Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse, etc.).
  • Experience in building ETL/ELT processes using

    SSIS (SQL Server Integration Services)

    OR

    Snowflake

    (including SnowSQL, Snowpipe, etc.).
  • Proficient in SQL for data manipulation, transformation, and performance tuning.
  • Familiarity with data modeling, data warehousing, and cloud data architectures.
  • Experience with version control systems like Git.
  • Understanding of CI/CD concepts and deployment pipelines in a cloud environment.

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