Data Engineer
Tasks
- Automate infrastructure deployments
- Build data ingestion frameworks
- Design batch and real-time data pipelines
- Develop Medallion architecture in data lake
- Develop data transformation frameworks
- Enable CI CD pipelines for deployments
- Ensure data governance security monitoring and operational excellence
- Implement event driven streaming processing
- Optimize performance, scalability, reliability, and cost
Perks/Benefits
Skills/Tech-stack
Apache Spark | Application Insights | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Event | Azure Event Hub | Azure Functions | Azure Service | Azure Service Bus | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Quality | Databricks Workflows | Delta Lake | Event Hub | Infrastructure as Code | Kafka | Log Analytics | PySpark | Python | REST API | SQL | Service Bus | Spark SQL | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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