Data Engineer
- Design, develop, and maintain data pipelines using Kafka and other tools
- Build and maintain infrastructure using Terraform
- Troubleshoot and resolve data engineering issues
- Work with other teams to ensure that data is available and accessible
- Stay up-to-date on the latest data engineering trends and technologies
- Take part in decisions related to how we undertake new projects
- Gather requirements and scope out projects with the rest of the team
- Bachelor's degree in Computer Science or a related field
- 5+ years of experience as a Data Engineer
- Strong understanding of Kafka, Spark, Flink, and standard computer science concepts
- Experience with cloud-based infrastructure (AWS, Azure, GCP)
- Excellent communication and problem-solving skills
- Ability to work independently and as part of a team
- Experience with relational databases (PostgreSQL)
- Experience with Snowflake
- Experience with Flink & Spark
- Experience with "NoSQL" databases (Redis, ElasticSearch, etc.)
- Experience with high availability systems and event-driven systems.
- Competitive salary and benefits package
- Opportunity to work on cutting-edge technology
- Chance to make a real impact on a growing company
- Work with a team of talented and passionate engineers
- Informal meeting with Talent Partner (1 hour)
- 1st Stage Interview with Head of Data & Infrastructure (30 minutes)
- 2nd Stage Technical Google Hangout OR onsite with 2 members of the data Engineering team (Up to 2.5 hours)
- Final Stage Google Hangout interview with CTO (1 hour)
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