Data Engineer
Tasks
- Build ETL/ELT pipelines
- Deploy data and code releases
- Design data architecture and documentation
- Design tenant aware data models
- Develop batch data processing pipelines
- Generate features for data products
- Implement streaming ingestion
- Maintain metadata management and data lineage
- Manage source control workflows
- Optimize SQL query performance
Perks/Benefits
Skills/Tech-stack
AKS | API Management | Amazon Kinesis | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure Event | Azure Event Hubs | Azure Functions | Azure Service | Azure Service Bus | Azure Storage | CI/CD | Confluence | Data Factory | Data Modeling | DataOps | Database performance | Database performance tuning | Database releases | Draw.io | ELT | ETL | Event Grid | Event Hubs | GitHub Actions | Informatica | Kafka | Performance Tuning | Python | Query Optimization | Redis | SQL | Service Bus | SnapLogic | Snowflake | Source Control
Education
N/A
Roles
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