Data Engineer
Tasks
- Automate data workflows
- Build ETL workflows
- Build data pipelines
- Define data engineering roadmaps
- Design data infrastructure
- Develop data lakes
- Develop data orchestration automation
- Develop data warehouses
- Ensure data privacy compliance
- Ensure high availability
- Implement data best practices
- Implement data governance
- Implement data logging
- Implement data monitoring
- Implement emerging technologies
- Improve data quality
- Improve data reliability
- Maintain data architectures
- Maintain documentation
- Optimize data activation
- Optimize data ingestion
- Optimize data transformation
- Optimize infrastructure costs
- Orchestrate ETL with Airflow
- Process batch data
- Process real-time data
- Research data technologies
- Use cloud data services
Perks/Benefits
- N/A
Skills/Tech-stack
Airbyte | Apache Airflow | Apache Spark | Batch Processing | CI/CD | Cloud Computing | DBT | Data Governance | Data Modeling | Data Privacy | Data Quality | ETL | Hightouch | LLM | Machine Learning | Metabase | PostgreSQL | Python | RGPD | Real Time | Real-time Processing | SQL | Secoda | Snowflake | Terraform | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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