19 Jan
Staff Software Engineer - Data Engineering
Vacancy expired!
What does Clover do?Every single day, Clover devices handle the core point-of-sale and card processing for hundreds of thousands of merchants. We provide next-generation payment services for over USD $2.2 trillion processing volume. Behind the scenes, we operate a cloud platform providing processing, storage and collaboration for merchants, application developers, service providers and our merchants' customers. This forms the backbone of millions of payment interactions between merchants and their customers daily.In this role, you can expect to:
- Design and build large scale, distributed and highly fault tolerant systems to solve complex business problems.
- Be a Key Contributor in developing the team's technical strategic roadmap, partnering with the key stakeholders.
- Work with partner teams to build and support state of the art data streams, pipelines and microservices.
- Work frequently with other teams to coordinate major changes to cross-system architectures, influencing upstream or downstream for the most efficient solutions
- Help your teammates be better engineers through better processes, practices and technical guidance.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Must live in or near Sunnyvale, CA; Colorado Springs, CO; Alpharetta, GA; Marietta, GA; Austin, TX; New Jersey or New York
- Bachelor's Degree
- 10+ years of engineering experience
- 8+ years of strong Java coding, debugging and troubleshooting skills
- 6+ years working on a relational database (MySQL preferred)
- 5+ years' experience with algorithms, data structures, complexity analysis and software design
- Prior experience working with messaging or event streaming technologies (Kafka preferred).
- A systematic problem-solving approach, coupled with strong communications skills and a sense of ownership and drive
- Previous experience working with any of the following:
- ETL data pipelines and data modelling
- Data warehouse technology (Snowflake preferred)
- One of the leading Cloud provider technologies (Azure, AWS, GoogleCloud, etc.)
- Modern containerization technologies like Docker, Kubernetes or others
- Big Data technologies
Vacancy expired!