AI Data Engineer 3
Tasks
- Apply data governance and security best practices
- Design scalable ETL/ELT pipelines
- Develop and automate data integration workflows
- Gather requirements for enterprise data initiatives
- Ingest transform cleanse and validate semi structured data
- Ingest transform cleanse and validate structured data
- Maintain technical documentation for data workflows and databases
- Modify and enhance databases and ETL processes
- Optimize database schemas and data models
- Test validate and monitor data pipelines
- Troubleshoot data quality and pipeline performance issues
Perks/Benefits
- Dental insurance
- Employer-matched 401k
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Vision insurance
Skills/Tech-stack
Cloud Data | Cloud Data Platforms | Data Governance | Data Modeling | Data Quality | Data Validation | Data integration | Data pipeline | Data pipeline orchestration | Data platforms | Database Design | ELT | ETL | Monitoring | Pipeline Orchestration | Python | Relational databases | SQL | Shell Scripting
Education
Bachelor of Computer Engineering | Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Information Systems
Roles
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