• 2+ years’ experience with ETL and OLAP as a data engineer with pipelines still in production.

• 2+ years’ experience with SQL, data modeling, performance tuning and E2E process optimization.

• 2+ years’ experience with Kubernetes, Airflow, or other orchestration platforms.

• 2+ years’ experience in the following: Golang GCP Big Query/Dataflow or equivalent Grafana Kafka

• Effectively communicate through multiple mediums: presentations, dashboards, brand and language specific company datasets, bots and more.

• Capable of working with multiple tools and programming languages.

• Proficient at adopting and adapting agile workflows.

• Working with your peers and thought leaders to understand and define dataengineering best practices.

• BA/BS in Computer Science, Math, Physics, or other technical fields.

• Collaborate with Data Analytics, and other Data Engineers to define pipeline requirements.

• Enable and ship high-quality bug-free applications on a regular and rapid cadence used by Data Science and Data Analytics teams

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• Create scalable and extensible data acquisition systems leveraging multiple API’s.

• Implement golden tests within pipelines for output verification.

• Integrate CI/CD for systems and processes as needed.

• Ensure data robustness and validity within ETL and OLAP efforts.