Consultant Data Engineer – Software Technical Architecture (STA)
Tasks
- Apply engineering best practices
- Architect and implement data platforms on Azure
- Continuously improve engineering practices
- Design and develop data pipelines
- Develop ETL and ELT batch processing
- Develop streaming data processing
- Document technical solutions
- Ensure quality, performance, and maintainability
- Implement devops principles
- Monitor and observe systems
- Participate in code reviews
- Set up CI/CD
- Support client adoption of solutions
- Use infrastructure as code
- Validate technical implementations
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Apache Spark | Automated testing | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Synapse | Azure Synapse Analytics | Batch Processing | CI/CD | Cloud Engineering | Data Factory | Data Lake Storage | Databricks | ELT | ETL | Event Driven | Event-driven architecture | Git | Infrastructure as Code | Microsoft Fabric | Monitoring | Observability | PySpark | Python | SQL | Scala | Streaming | Synapse Analytics | “as-code”
Education
Roles
Architect | Cloud Data Engineer | Cloud) | Data Engineer | Engineer | Software Architect
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