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Data Engineer with Azure Data Factory
Posted On: 1 day ago
Experience: 6+ years
Availability: Hybrid
Openings: 2
Category: Data Engineer
Tenure: No Preference/Any
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Description

You will build and manage data pipelines using Azure Data Factory, Snowflake, and Databricks.

This role is hybrid.

Responsibilities

  • Build simple to complex data pipelines and dataflows.
  • Translate business requirements into data-centric solutions.
  • Analyze complex data flows and underlying data structures.
  • Create and manage Snowflake objects, including tables, views, and stages.
  • Implement performance tuning, query optimization, and data modeling strategies.

Required Skills

  • 6+ years of experience with Azure Data Factory, Snowflake, and Databricks.
  • Expert-level knowledge of Azure Data Factory and Snowflake/Data Warehouse.
  • Strong proficiency in SQL, including creating and managing Snowflake objects.
  • Experience working with the Azure stack, including Azure Data Lakes and Azure SQL.
  • Proficiency with version control systems (Git) and CI/CD pipelines.
  • Strong understanding of data modeling techniques.
  • Ability to analyze and understand complex datasets.

Education

Any Graduate

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