Description

You will build and maintain data architectures within the AWS ecosystem.

You will own the release pipeline.

Responsibilities

• Design and develop data pipelines to ingest, process, and transform data for analytics.
• Implement ETL/ELT workflows to move data between source systems, Data Warehouses, Data Lakes, and Lake Houses.
• Perform data transformations on Snowflake using DBT and write complex SQL queries to aggregate data from multiple sources.
• Develop testing scripts to verify data quality and accuracy.
• Apply DevOps practices, including CI/CD, infrastructure as code, and automation, to data engineering workflows.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with AWS services.
• Extensive experience with Snowflake.
• Strong SQL skills for complex querying and data manipulation.
• Experience with Python.
• Hands-on experience using DBT (Data Build Tool).
• Knowledge of ETL/ELT processes and data modeling.

Preferred Skills

• Bachelor's degree.

Key Skills

Education

Bachelor's degree