Software Engineer SME (TS/SCI with Poly Required)
USD 187K-318K Mid-level Full Time
Tasks
- Assess data pipelines infrastructure and data flows
- Build API integrations
- Create documentation and technical guidance
- Design dimensional models data warehouses and data marts
- Design, build, and maintain data pipelines
- Develop ETL and ELT processes
- Evaluate data architecture
- Extract and model semi structured data
- Implement CI/CD and automated testing
- Implement Slowly Changing Dimensions
- Implement data quality checks and validation
- Implement security access control and compliance
- Optimize pipeline performance cost and resources
- Perform database performance tuning and capacity planning
- Set up monitoring alerting and observability
- Troubleshoot pipeline failures and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
API | API Key | Amazon Kinesis | Amazon Web Services | Apache Airflow | Apache Spark | CI/CD | Cloud platform | CloudFormation | DBT | Data Mart | Data Modeling | Data Quality | Data Validation | Data Vault | Data Warehouse | Dimensional Modeling | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Great Expectations | Infrastructure as Code | JSON | JavaScript | Kafka | Kubernetes | Microsoft Azure | Monitoring | Monte Carlo | OAuth | Observability | Prefect | PySpark | Python | Reverse ETL | SQL | Single Sign-On | Slowly Changing Dimensions | Soda | Terraform | Version control | Web Services | XML | “as-code”
Education
N/A
Roles
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