Data Engineer
Tasks
- Automate data workflows with infrastructure as code
- Build scalable AWS data infrastructure
- Design data pipelines and ETL processes
- Develop dashboards and analytics products
- Develop data models and schemas
- Implement data encryption masking and access controls
- Implement data validation and reconciliation
- Integrate mission data into data lakes
- Maintain documentation and metadata repositories
- Monitor and troubleshoot pipeline performance
- Support agile sprints and backlog refinement
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | Access Control | Amazon Kinesis | Amazon QuickSight | Amazon RDS | Amazon Redshift | Amazon S3 | Apache NiFi | Apache Parquet | CI/CD | CSV | Data encryption | Data masking | DynamoDB | ETL | Infrastructure as Code | JSON | MongoDB | PostgreSQL | Power BI | Python | REST API | SQL | SQL Server | Tableau | Talend | XML | “as-code”
Roles
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