Data Engineer
Tasks
- Automate data workflows
- Build ETL workflows
- Build and maintain scalable data pipelines
- Define data architecture best practices
- Design data infrastructure
- Develop Data Lake strategy
- Develop data team roadmaps
- Develop data warehouse strategy
- Document data pipelines
- Ensure GDPR compliance
- Implement batch data processing
- Implement data governance policies
- Implement real-time data processing
- Improve performance and availability
- Maintain data lineage logging
- Monitor data quality and reliability
- Optimize data activation
- Optimize data ingestion
- Optimize data transformation
- Optimize infrastructure costs
- Research and implement data technologies
- Use cloud services for data processing
Perks/Benefits
- N/A
Skills/Tech-stack
Airbyte | Apache Airflow | Apache Spark | Batch Processing | CI/CD | DBT | Data Governance | Data Lake | Data Modeling | Data Privacy | Data Quality | Data Warehouse | ETL | GDPR | PostgreSQL | Python | Real Time | Real-time Processing | SQL | 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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