Senior Data Engineer
Tasks
- Build data storage architectures
- Collaborate with analysts and business stakeholders
- Design data ingestion pipelines
- Develop ELT pipelines
- Develop ETL pipelines
- Develop data sharing solutions
- Implement data processing workflows
- Implement data quality security availability standards
- Implement monitoring and alerting
- Modernize legacy DWH systems
- Optimize AWS cloud data architectures
- Optimize Oracle DB data architectures
- Perform code reviews
- Resolve data workflow issues
- Troubleshoot software defects
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | Business Objects | CD | CI | CI/CD | DBT | Data Services | Data mesh | Docker | ELT | ETL | Event Driven | Event-driven architecture | Flink | GCP | Infrastructure as Code | Kafka | Kubernetes | Medallion Architecture | Message-based | Message-based architecture | NoSQL | Oracle DB | Power BI | Python | SAP Business | SAP Business Objects | SAP Data Services | SAP IQ | SAP data | SDLC | SQL | Spark | “as-code”
Education
N/A
Roles
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