Senior Data Engineer
Tasks
- Automate manual run steps and harden workflows
- Collaborate with analytics and business stakeholders to design data solutions
- Design document and evidence SOX controls
- Implement data governance, security, and compliance best practices
- Implement monitoring alerting and data quality controls
- Integrate structured and unstructured data from databases APIs and streaming
- Maintain data infrastructure for performance reliability and scalability
- Maintain documentation for data engineering processes
- Mentor and train junior engineers
- Optimize data models for analytics and reporting
- Optimize workflow orchestration and scheduling
- Own production data pipeline reliability
- Respond to pipeline failures through on call rotation
- Run and improve SQL based ETL workflows
- Troubleshoot and perform root cause analysis
Perks/Benefits
- 401k
- Career growth
- Dental insurance
- Education reimbursement
- Flexible spending account
- Medical insurance
- Paid sick leave
- Paid time off
- Parental leave
- Quarterly performance bonus
- Training
- Vision insurance
Skills/Tech-stack
Alerting | Alteryx | Autosys | Azure Data | Azure Data Factory | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Confluence | Data Architecture | Data Compliance | Data Factory | Data Governance | Data Modeling | Data Quality | Data Security | Data orchestration | ETL | GitLab | Jira | Linux/Unix | Monitoring | Python | SQL Server | Scheduling | Snowflake | Stored Procedures | Synapse Analytics | T-SQL
Education
Roles
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