Data Solutions Engineer
Tasks
- Build AWS based data pipelines
- Contribute reusable components and reference architectures
- Create integration patterns between data platforms and external systems
- Create runbooks and operational handoff artifacts
- Define testing monitoring and observability frameworks
- Design and optimize Amazon Redshift solutions
- Develop dbt data models transformations and packages
- Embed privacy by design data governance controls
- Establish CI/CD and infrastructure-as-code standards
- Lead proof of concept evaluations
- Lead solution architecture for data models and pipelines
- Produce design artifacts including schemas and runbooks
- Translate business problems into scalable data solutions
Perks/Benefits
Skills/Tech-stack
AWS | AWS CDK | AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon EventBridge | Amazon Kinesis | Amazon Redshift | Amazon S3 | CI/CD | Change Data Capture | DBT | Data Capture | Data Contracts | Data Governance | Data Modeling | Data Pipelines | Data Warehouse | Dimensional Modeling | Infrastructure as Code | Jinja | Monitoring | Observability | PII Classification | PySpark | Python | SQL | Step Functions | Terraform | Testing | “as-code”
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