Senior Data Engineer
Tasks
- Automate data workflows with infrastructure as code
- Build and optimize data models and schemas
- Contribute to Agile sprints
- Design data pipelines
- Develop ETL processes
- Implement data migration and synchronization
- Implement encryption masking and access controls
- Integrate APIs streaming and file data into data lakes
- Maintain documentation and metadata repositories
- Monitor and troubleshoot data pipeline performance
- Perform data validation and reconciliation
- Set up CI/CD for data workflows
- Support data visualization and analytics products
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | Access Control | Agile | Amazon Kinesis | Amazon QuickSight | Amazon RDS | Amazon Redshift | Amazon S3 | Apache NiFi | CI/CD | CSV | Data Reconciliation | Data Transformation | Data Validation | Data profiling | DynamoDB | ETL | Encryption | Infrastructure as Code | JSON | MongoDB | PostgreSQL | Power BI | Python | REST API | SQL | SQL Server | Tableau | Talend | XML | “as-code”
Roles
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