Data Engineer
Tasks
- Automate data processing
- Build batch data pipelines
- Build dbt workflows
- Build real-time data pipelines
- Design data architectures
- Ensure Data Lineage
- Ensure data security
- Explore cloud data lake and lakehouse architectures
- Implement DevOps practices for data processing
- Implement MLOps practices
- Manage data errors
- Model data for analytics
- Optimize costs in data platforms
- Optimize data performance
- Orchestrate data workflows
- Set up data monitoring
Perks/Benefits
- Access to employee council benefits
- Career support
- Employee benefits plan
- Fitness or wellness reimbursement
- Partial vacation reimbursement
- Telework
- Training
- Transportation mobility support
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | CI/CD | Cloud platform | DBT | Docker | Git | Google Cloud | Google Cloud Platform | Hadoop | Kubernetes | Microsoft Azure | MongoDB | Palantir Foundry | PostgreSQL | Power BI | Python | SQL | Snowflake | Terraform | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
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