Data Engineer
Tasks
- Build and maintain data pipelines
- Build batch data processing pipelines
- Build real-time data processing pipelines
- Define data architecture best practices
- Define team roadmap and delivery timelines
- Design data infrastructure
- Develop data warehouse and data lake strategy
- Enforce data governance policies
- Ensure data security and privacy compliance
- Implement ETL workflows
- Implement data monitoring and logging
- Improve data reliability and quality
- Improve workflows automation and documentation
- Optimize data ingestion transformation and activation
- Optimize infrastructure costs
- Research and implement emerging data technologies
- Use cloud services for data processing and storage
Perks/Benefits
- N/A
Skills/Tech-stack
Airbyte | Apache Airflow | Apache Spark | Batch Processing | CI/CD | Cloud Computing | DBT | Data Governance | Data Modeling | Data Monitoring | Data Quality | ETL | Logging | PostgreSQL | Python | RGPD | Real Time | Real-time Processing | SQL | Snowflake | Terraform | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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