QTG - Digital Investing Engineering - Principal Data Engineer
Tasks
- Build data products and data assets
- Deploy automation for data workflows
- Design data pipelines
- Develop ETL and ELT processes
- Enable self-service business intelligence
- Ensure data quality and integrity
- Implement workflow automation
- Lead concurrent projects
- Maintain data lineage and governance
- Mentor data engineers
- Modernize data infrastructure
- Operationalize machine learning pipelines
- Provide data consultation to stakeholders
- Set up monitoring and alerting
- Support data modeling and architecture
- Support security and compliance
Perks/Benefits
- Career growth and development
- Community involvement opportunities
- Health and wellbeing resources
- Hybrid work with at least 3 days in office
- Paid sick days
- Paid vacation
- Work-life balance resources
Skills/Tech-stack
Agile | Alerting | Apache Airflow | Automation | BigQuery | Cloud Composer | Cloud SQL | Cloud infrastructure | Data Catalog | Data Governance | Data Lineage | Data Modeling | Databricks | Dataflow | Deployment | ELT | ETL | GCP | Looker | ML pipelines | MLOps | MSSQL | Machine Learning | Monitoring | MySQL | PowerBI | PubSub | Python | Relational databases | SAFe | SQL
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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