Specialist - Data Engineering
Tasks
- Apply engineering practices like testing and code review
- Build and maintain ETLELT pipelines
- Build spatial geo data solutions
- Collaborate with product managers and stakeholders
- Create bronze to gold datasets
- Deploy and monitor data products
- Design data models
- Ensure operational reliability
- Implement data quality checks
- Ingest data using ingestion workflows
- Maintain and improve production data systems
- Support analytics and AI ML enabled use cases
- Use observability documentation and data lineage
Perks/Benefits
Skills/Tech-stack
APIs | Async workflows | Azure | Azure Data | Azure Data Factory | CI/CD | Code review | DBT | Data Factory | Data Integrity | Data Lineage | Data Modeling | Data Pipelines | Data Processing | Data Quality | Databricks | Distributed data | Distributed data processing | ETLELT | Geospatial | Looker | MLOps | Observability | Power BI | Python | Python Based Development | Queue-based systems | SQL | Spatial data | Tableau | Testing
Education
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