Data Engineering & Warehousing Engineer
Tasks
- Build data warehouses data lakes modern data platforms
- Collaborate with data scientists BI developers stakeholders
- Design ETL/ELT pipelines
- Develop real-time/batch data processing
- Implement data security monitoring governance
- Integrate data sources with data quality
- Optimize data storage query performance
- Participate in data platform architecture modernization
- Troubleshoot data pipeline platform issues
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 | Cloud Data | Cloud Dataflow | Cloud Dataproc | Cloud Pub/Sub | Cloud data lake | DBT | Data Factory | Data Governance | Data Integrator | Data Lake | Data Modeling | Data Quality | Dimensional Modeling | Docker | ELT | ETL | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Pub/Sub | Infrastructure as Code | Kubernetes | Lakehouse Architecture | Metadata Management | Oracle | Oracle Data | Oracle Data Integrator | PostgreSQL | Pub/Sub | Python | SQL | Synapse Analytics | “as-code”
Education
Regions
Countries
States
Cities
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