Data Engineer
Tasks
- Automate data workflows with infrastructure as code and CI/CD
- Build scalable data infrastructure with AWS services
- Design data pipelines and ETL processes
- Develop dashboards and analytics products
- Develop data models and schemas
- Implement data migration and synchronization
- Implement encryption masking and access controls
- Integrate data from APIs streaming and file sources
- Maintain documentation and metadata repositories
- Monitor and troubleshoot data pipeline performance
- Participate in agile sprints
- Validate and reconcile data quality
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS GovCloud | AWS Lambda | Access Control | Agile | Amazon Kinesis | Amazon QuickSight | Amazon RDS | Amazon Redshift | Amazon S3 | Apache NiFi | CI/CD | CSV | Data Transformation | Data Validation | Data encryption | Data masking | Data profiling | DevSecOps | DynamoDB | ETL | Infrastructure as Code | JSON | MongoDB | PostgreSQL | Power BI | Python | REST API | RMF | SQL | SQL Server | STIG | Tableau | Talend | XML | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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