Darum lohnt es sich
With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities. • 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.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers.
