Senior Data Engineer (AWS)

Key Responsibilities:

• Design and own the architectural evolution of data pipelines and platform components, leading design reviews and defending technical decisions with evidence-based reasoning.
• Build and maintain robust ingestion pipelines leveraging AWS DMS, Amazon AppFlow, and Amazon EventBridge to land data seamlessly into AWS S3 and Snowflake.
• Optimize and model analytics datasets within dbt Cloud, applying strict dimensional modeling (Kimball techniques) and implementing SCD Type 2 logic.

Requirements:

• 5+ years of professional experience in Data Engineering roles.
• Proficiency with Python (including AWS Lambda), advanced SQL, dbt Cloud, Snowflake, Terraform (IaC), and Docker.
• Deep hands-on experience with core AWS data services (S3, Glue, Athena, EventBridge, AppFlow, DMS).

What You’ll Love:

• 100% Remote work with holidays off and paid time off.
• Health insurance assistance and competitive USD compensation.
• Growth opportunities in a fully remote team.