Data Engineer
June 19
Description
• Load raw data into BigQuery from various API sources, ensuring data integrity, consistency, and reliability • Configure, optimize and manage incremental and historical data loading jobs to support analytics and reporting requirements • Implement reverse ETL processes to extract clean data from BigQuery and feed it into other systems and platforms • Develop custom connectors in Airbyte to integrate with external data sources and systems
Requirements
• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred • Proven experience as a Data Engineer or similar role, with expertise in loading and managing data (BigQuery is a plus) • Strong proficiency in Python and experience with data modeling concepts and techniques • Hands-on experience with workflow orchestration tools like Prefect or Airflow and familiarity with data loading tools such as Airbyte • Experience with reverse ETL processes • Knowledge of cloud-based data platforms and services, particularly Google Cloud Platform (GCP)
Benefits
• 100% remote and flexible work hours • Full-time job • Learning from the best, including ex-Googlers and more • Unlimited growth prospects • Inclusion in a winning team • Competitive compensation • A fun, non-corporate atmosphere
Apply Now