Description

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

This role is hybrid.

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