Senior Data Engineer

Responsibilities:

• Design, build, and maintain scalable, reliable data pipelines using Python and AWS DynamoDB.
• Implement robust ETL/ELT processes for both batch and streaming workloads.
• Collaborate with data scientists and backend engineers to ensure data accessibility.

Skills & Experience:

• 5+ years of professional experience in data engineering.
• Expert Python skills focused on data processing and pipeline development.
• Deep experience with AWS DynamoDB including data modeling and performance tuning.

Compensation & Culture:

• Competitive compensation and professional development opportunities.
• Flexible work arrangements designed to help employees thrive.
• A collaborative environment fostering creativity and continuous learning.