TL;DR

Senior Data Engineer (Snowflake+Cloud): Supporting the migration of legacy SQL Server data warehouse to a cloud-based Snowflake environment with an accent on data integration, ETL refactoring, and performance optimization. Focus on building data pipelines, ensuring reliable data movement, and collaborating with cross-functional teams.

Company

%hirify_global% is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries.

What you will do

Build and modify data pipelines to migrate data from SQL Server and other databases to AWS S3 and Snowflake.
Refactor legacy ETL jobs for use in cloud environments.
Implement data transformations and staging using dbt and/or similar tools.
Optimize the performance and costs of cloud data processing and storage.
Work collaboratively with client’s and %hirify_global% engineers.
Participate in QA, testing, deployment, and post-migration validation.

Requirements

5+ years of experience as a Data Engineer.
Experience with cloud data warehouse technologies, including Snowflake and AWS S3.
Solid SQL skills; experience migrating legacy environments to cloud platforms.
Familiarity with ETL frameworks and tools (preferably SSIS, dbt).
Proficiency in Python for data pipeline development and automation.
Strong documentation and communication skills.