Data Engineering & Warehousing Engineer
Tasks
- Build data warehouses and data lakes
- Collaborate with data scientists and BI developers
- Design ETL/ELT pipelines
- Develop real time and batch processing
- Implement data security and governance
- Integrate data sources with data quality
- Monitor and troubleshoot data pipelines
- Optimize storage/query performance
- Participate in architecture modernization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | Agile | 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 Modeling | Data Quality | Dimensional Modeling | Docker | ELT | ETL | Google BigQuery | Google Dataflow | Google Dataproc | Google Pub/Sub | Infrastructure as Code | Kubernetes | Metadata Management | Oracle Data | Oracle Data Integrator | Oracle Database | PostgreSQL | Pub/Sub | Python | Query Optimization | SQL | Scrum | Synapse Analytics | “as-code”
Education
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