Description

You will design and implement enterprise ETL/ELT solutions using Azure, Snowflake, and SQL Server. You will own the data pipeline lifecycle from ingestion to the Data Lakehouse.

Responsibilities

  • Build and maintain scalable ETL processes for enterprise data solutions.
  • Collaborate with business analysts to define data requirements and deliverables.
  • Optimize data ingestion and transformation workflows in Azure and Snowflake.
  • Ensure data integrity and performance across SQL Server and Data Lakehouse environments.

Required Skills

  • 5+ years of experience in ETL development and data engineering.
  • Proficiency in Azure data services and ecosystem.
  • Strong experience with Snowflake data warehousing.
  • Advanced SQL skills with Microsoft SQL Server.
  • Hands-on experience designing Data Lakehouse architectures.
  • Proven track record implementing complex ETL/ELT pipelines.

Preferred Skills

  • Experience integrating with business intelligence stakeholders.
  • Background in data modeling for enterprise-scale systems.

Key Skills
Education

Any Graduate

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