Senior Data Engineer
Tasks
- Automate data workflows with infrastructure as code
- Build ETL processes
- Design data pipelines
- Develop dashboards and analytics products
- Develop data models and schemas
- Implement data encryption masking and access controls
- Implement data migration and synchronization
- Integrate APIs streaming sources and files
- Maintain documentation and data lineage
- Monitor and troubleshoot pipeline performance
- Optimize data flow performance
- Participate in agile sprints
- Perform data validation and reconciliation
- Set up CI CD data pipelines
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | Access Control | Amazon Kinesis | Amazon QuickSight | Amazon RDS | Amazon Redshift | Amazon S3 | Apache NiFi | CSV | Data Modeling | Data Reconciliation | Data Validation | Data Warehousing | Data encryption | Data masking | Data profiling | DynamoDB | ETL | JSON | MongoDB | PostgreSQL | Power BI | Python | REST API | SQL | SQL Server | Tableau | Talend | XML
Education
Roles
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