Data Engineer II
Tasks
- Build data models for analytics
- Design cloud-based data pipelines
- Develop ETL/ELT processes
- Implement automation and continuous integration
- Integrate enterprise source systems
- Maintain infrastructure-as-code
- Monitor pipeline performance
- Perform code reviews
- Support data governance
- Troubleshoot data quality issues
Perks/Benefits
- Continuous learning
- Hybrid work
- Leadership development
- Professional certifications
- Quarterly perks program
- Time off
Skills/Tech-stack
AWS AppFlow | AWS Glue | AWS Step Functions | Amazon Redshift | Amazon S3 | Anomaly Detection | CI/CD | Data Lake | Data Modeling | Data Quality | Data Warehousing | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Metadata Management | NetSuite integration | PySpark | Python | SQL | Salesforce integration | Step Functions | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Information Systems
Roles
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