- Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow;
- Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness;
- Build critical data quality checks to ensure that the data we process and provide to partner teams meets security and compliance requirements;
- Participate in code and technical design reviews;
- Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting.
- Python is a MUST HAVE
- Data Pipelining
- Airflow
- SQL
- BigQuery
- Data Warehousing