What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Degree in a scientific or quantitative field required.
- Proven experience with Python, Airflow, Terraform, Git, GitLab (including CI/CD pipelines), and GCP (especially Kubernetes and Helm).
- Proficiency in SQL and capacity to work with complex data structures and large data volumes.
- Independent, responsible, proactive, and detail-oriented personality.
Nice to have
- Experience with NoSQL databases
- Experience with Kafka, Pub/Sub, Grafana
- Knowledge of sports betting and Casino data
Day to day
- Design and develop robust data infrastructure for Data Science projects.
- Maintain existing data infrastructure like Airflow instances and Kubernetes clusters.
- Collaborate with data scientists on technical aspects of project designs.
Hiring process
- Conversational interviews
- Encouragement for questions during the interview
- Early application recommended