We believe in tackling difficult questions/problems as a team in order to get to the best solution and we don’t hesitate to change our approach when a better idea is on the table.
We are a cross-functional team of engineers (front-end, back-end, QA, and data), product managers, and data scientists. We practice code reviews, unit and integration testing, continuous integration and delivery, agile 2 week sprints, and are a team that takes pride in seeing our work through from conception to deployment to fixing bugs and iterating.
Primary data stores include S3, Postgres, and Redshift.
AWS (EC2, Lambda, Fargate, Cloudwatch, DynamoDB, EKS, ElasticSearch, etc).
Docker and Kubernetes deployments triggered by GitLab CI.
Airflow for workflow management.
Alembic, dbt, and more for ETL and data pipelines.
2 to 4 years of professional experience using Python (or similar) to develop production-ready software.
Comfortable around disparate data, various APIs, and complex pipeline processes.
Prefer strong AWS (or similar) skills.
You are able to contribute in the following areas: tackle thorny logic and refactor to simplify code base, spread your knowledge of good coding practices, verify applications using integration tests, and unify code standards.
Ability to support product team on road mapping efforts based on user feedback.
Experience with modern web and application development practices: continuous integration, scrum or agile development, distributed version control systems, test-driven development, automated deployment and provisioning.
Strong communication skills: self-motivated, self-directing and a good communicator.
Active Github, Bitbucket, StackOverflow profile.
Job Requisition ID:29699
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