Data Engineering & Warehousing Engineer
Tasks
- Build data lakes
- Build data warehouses
- Build modern data platforms
- Contribute to data platform modernization
- Design ETL/ELT pipelines
- Develop batch data processing
- Develop real-time data processing
- Ensure data governance
- Ensure data quality
- Implement data monitoring
- Implement data security
- Integrate data sources
- Optimize storage and query performance
- Participate in architecture discussions
- Troubleshoot data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | Agile Scrum | Amazon Redshift | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | CI/CD | DBT | Data Factory | Data Governance | Data Integrator | Data Lakes | Data Modeling | Data Quality | Data Warehousing | Dimensional Modeling | Docker | ELT | ETL | Google BigQuery | Google Dataflow | Google Dataproc | Google Pubsub | Infrastructure as Code | Kubernetes | Lakehouse | Metadata Management | Oracle Data | Oracle Data Integrator | Oracle Database | PostgreSQL | Python | SQL | Synapse Analytics | “as-code”
Education
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