ETL Data Engineer
Tasks
- Architect scalable cloud data platforms
- Automate deployments
- Build ETL/ELT solutions
- Create semantic data models
- Design batch data pipelines
- Design streaming data pipelines
- Develop data warehouse solutions
- Develop lakehouse solutions
- Implement CI/CD pipelines
- Implement dataops practices
- Manage metadata and data lineage
- Optimize SQL queries
- Optimize database performance
- Validate data quality
Perks/Benefits
- N/A
Skills/Tech-stack
Advanced SQL | Amazon Kinesis | Apache Hudi | Apache Iceberg | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Event | Azure Event Grid | Azure Event Hubs | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Redis | Azure Redis Cache | Azure SQL | Azure SQL Managed Instance | Azure Service | Azure Service Bus | Azure Storage | Azure Storage Accounts | Batch Data Processing | Batch data | Big Data | CI/CD | Cause analysis | Control-M | Cosmos DB | DBT | Data Engineering | Data Factory | Data Lineage | Data Modeling | Data Processing | Data Quality | Data Warehouse | DataOps | Delta Lake | ELT | ETL | Event Grid | Event Hubs | Feature Engineering | GitHub | GitHub Actions | Great Expectations | Incident Management | Informatica | Integration Testing | Kafka | Kubernetes | Kubernetes Service | Lakehouse | Managed Instance | MongoDB | MySQL | Oracle | PostgreSQL | Production Support | Python | Redis Cache | Root Cause Analysis | Root cause | SQL Managed Instance | SQL Server | Semantic data | Semantic data modeling | Service Bus | SnapLogic | Snowflake | Storage Accounts | Terraform | Unit Testing
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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