Description

You will build and maintain data pipelines and warehousing solutions using Python and AWS.

4+ years of professional experience in data engineering or a similar role.

Responsibilities

• Develop and manage ETL processes and data pipeline architectures.
• Design and implement database architectures using SQL and NoSQL systems.
• Perform code peer reviews and maintain technical documentation using Git.
• Solve complex data problems through analytical modeling and engineering.

Required Skills

• 5+ years of hands-on experience with Python and SQL.
• 4+ years of experience with AWS services including Glue, Redshift, S3, Lambda, and Aurora.
• Proven experience in data warehousing and ETL development.
• Proficiency with NoSQL databases and PowerBI (DAX).
• Experience managing version control through Git processes.
• Bachelor’s degree in CS, IT, Engineering, or a related field.

Preferred Skills

• Master’s degree in a technical field.
• Familiarity with Tailwind CSS, Svelte architecture kit, and JavaScript.

Key Skills

Education

Bachelor’s degree