Data Engineering Expert
Tasks
- Address data latency issues
- Build and maintain ELT pipelines
- Build and maintain ETL pipelines
- Design and manage data lake systems
- Design and manage data warehouse systems
- Design data monitoring and alerting
- Ensure data compliance with standards
- Ensure data validation and transformation
- Ensure real time and batch ingestion
- Implement data governance
- Implement data modeling frameworks using UML
- Improve data quality and system stability
- Manage access management
- Manage data security protocols
- Optimize query performance
- Proactively prevent downtime
- Provide technical guidance and mentorship
Perks/Benefits
- Autonomy
- Dog-friendly office
- International team
- Multisport benefits
- Preferential banking rates
- Prime location
- Private health insurance
- Uncapped growth
Skills/Tech-stack
AWS | Amazon Redshift | Apache NiFi | Azure | Azure Data | Azure Data Factory | Azure DevOps | Bitbucket | CI/CD | DBT | Data Factory | Data Governance | Data Lake | Data Modeling | Data Security | Data Warehousing | Data orchestration | ELT | ETL | Git | GitHub | GitLab | Google BigQuery | Luigi | Power BI | Prefect | Python | SQL | Snowflake | Streamlit | Tableau | UML
Education
N/A
Roles
Data Engineer | Engineer | Service Desk Technician | Technician
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