Sr. Data Engineer
Tasks
- Build data pipelines
- Collaborate with stakeholders on use cases
- Conduct code reviews
- Contribute to solution design decisions
- Design data pipelines
- Distribute data products
- Document and communicate releases
- Improve data governance practices
- Model data
- Monitor data reliability and quality
- Optimize data pipelines
- Optimize performance, scalability, and cost
- Participate in design collaboration
- Perform root cause analysis
- Transform data
- Translate business requirements into technical solutions
- Troubleshoot data and system issues
- Use automation and AI assisted tools
- Validate data pipeline changes
Perks/Benefits
- Employee assistance program
- Fitness center discounts
- Flexible work arrangements
- Hybrid work arrangements
- Paid time off
- Paid volunteer time off
- Parental and family care leave
- Training and certification opportunities
- Tuition reimbursement
- Virtual fitness platform
Skills/Tech-stack
AI Assisted Development | API Integration | Automation | Branching strategy | Code review | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Git | Monitoring | Performance Tuning | Pull Requests | Python | SQL | Semi-structured | Semi-structured Data | Snowflake | Structured data | Unstructured Data | Version control
Education
Roles
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