What You'll Accomplish
- Partner with cross functional teams to define BI and analytics requirements
- Develop data models to feed dashboards for teams across the org, as well as client-facing analytics
- Design dimensional data models and build scalable data pipelines
- Ingest data from third party applications & in-house data stores
- Lead complex projects end-to-end with drama free-launches
- Support internal and external reporting metrics creation
- Mentor junior members of the team
Your Expertise
- You have 5+ years of data engineering experience
- You are proficient with SQL and Python
- You have solid experience with designing and building ETL/ELT pipelines
- You are a team player with strong collaboration and communication skills
- You have experience mentoring junior members of a team
- You are excited by new technologies, but are conscious of choosing them for the right reasons
- Self Starter with a high desire to learn
- Excellent communication skills, and the ability to collaborate effectively with both technical and non-technical stakeholders
- You have experience being on-call and respond quickly during an incident to troubleshoot and resolve issues
Nice to Haves
- You have experience with Airflow
- You have experience with AWS
- You have experience with DBT
- You have experience with Snowflake
- You have familiarity with a BI visualization tool like Looker or Tableau
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
- Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Our backend is Java / Spring Boot and Python microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Snowflake, Postgres, Planetscale, and Redis, hosted via AWS
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
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