Data Engineer
Tasks
- Architect and maintain data warehouse
- Collaborate with analytics and business teams
- Design schema and partitioning strategy
- Design, build, and maintain data pipelines
- Develop layered data models
- Document data sources pipeline logic schemas lineage
- Establish data quality checks
- Implement ELT/ETL workflows
- Implement logging alerting and monitoring
- Ingest data via APIs and SFTP
- Integrate with third-party SaaS platforms
- Optimize warehouse performance
- Set up reconciliation and anomaly detection
- Support data governance security and access controls
Perks/Benefits
Skills/Tech-stack
API Integration | Access Control | Alerting | Amazon Redshift | Analytical modeling | Anomaly Detection | Apache Airflow | Azure | BigQuery | DBT | Data Governance | Data Modeling | Data Observability | Data Quality | Data Warehouse | Data Warehouse Architecture | Dimensional Modeling | ELT | ETL | Fivetran | Indexing | Logging | Monitoring | Partitioning | Performance optimization | Prefect | SFTP | SQL | Schema Design | Security | Snowflake | Stitch | Warehouse Architecture
Education
N/A
Roles
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