Data Engineer, Specialist
Tasks
- Build real time and offline analytics
- Build scalable data pipelines
- Conduct regression testing
- Create BI and reporting outputs
- Design and conduct training sessions
- Design data models
- Design database systems
- Develop ETL processes
- Engage with vendors to resolve issues and deploy to production
- Ensure data consistency and integrity
- Explain technical considerations
- Implement software releases
- Integrate large scale data sources
- Lead solution development phases
- Perform regression testing
- Perform root cause troubleshooting
- Provide data analysis guidance
- Provide job aids
- Review end product with clients
- Test code accuracy
- Translate business specs into code
- Write complex programs and queries
Perks/Benefits
- Financial wellness benefits
- Flexible schedule
- Hybrid working model
- Personal wellness resources
- Physical wellness benefits
- Wellness support
Skills/Tech-stack
AWS | Athena | Batch Processing | Cloud Computing | CloudFront | CloudWatch | Data Integrity | Data Modeling | Data Pipelines | Data Quality | Database Architecture | DynamoDB | ECS | ELT | ETL | Event Driven | Event-driven architecture | Glue | IAM | Lambda | Medallion Architecture | PySpark | Python | Real Time | Real-time Processing | S3 | SNS | SQL | SQL querying | SQS | Step Functions | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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