Data Engineer

About Us:

Pango is shaping the future of urban mobility. Since 2007, we've been pioneering innovative solutions for drivers and commuters, starting with our mobile parking payment service.

Today, Pango is a leading smart mobility app that empowers millions of users to effortlessly manage their transportation needs. Our app simplifies hybrid journeys by combining various transportation modes into one convenient platform.

About the Role:

We’re after a sharp, motivated Data Engineer to join our data team and bring a great impact to Pango's Big-Data infrastructures. If you’re into solid tech, clever solutions, and know how to get things done, this is a great opportunity for you.

Join Us!

Requirements:

• 5+ years of experience in data engineering in fast-paced environments.
• Cloud experience with any major provider - AWS, GCP or Azure - Big Advantage.
• Proper software engineering skill in Python, with a systematic understanding of OOP.
• Must write clean, reusable, efficient, and scalable code, while applying design patterns and adhering to SOLID design principles for maintainability and performance.
• Proven hands-on experience with pub-sub architectures, microservices architectures, event-driven data processing, and distributed computing.
• Proven experience in CI/CD processes- testing, deployment automation, and version control, with experience in Serverless Framework, Bitbucket (or GitLab\GitHub) pipelines, or similar tools (no, copying files over SSH doesn’t count).
• Fundamental understanding of essentials like sharding, partitioning, streaming and batch processing, graph and DAG, lake and warehouse, what map/reducer etc.
• Knowledge with ML operations. Experience with SageMaker- an advantage.
• Team Player and owning a positive "Go-To" attitude.