Manager, Data Engineering
Austin, TX, United States
USD 127K-183K (estimate) Mid-level Full Time
Tasks
- Automate GCP data operations and deployments
- Build scalable data pipelines for analytics
- Coach and mentor junior engineers
- Collaborate with business and technology partners to deliver cloud solutions
- Create documentation and training for cloud and integration tools
- Design data platform architecture on GCP
- Develop ETL automation scripts in Python
- Document change activities
- Ensure security scalability reliability performance of GCP data solutions
- Implement data accuracy integrity accessibility across environments
- Integrate and map data using Informatica IICS and IDMC
- Maintain Python based ETL monitoring and reporting frameworks
- Manage change processes with Jira Control-M and ServiceNow
- Monitor and troubleshoot production issues using GCP tools
- Perform impact analysis for changes
- Support GCP build and deployment pipelines
- Support on-call duties
Perks/Benefits
- 401k match
- Employee stock purchase plan
- Health, dental, vision insurance
- Hybrid remote work schedule
- Paid parental leave
- Paid vacation
- Sabbatical 28 days
- Tuition reimbursement
- Volunteering time
Skills/Tech-stack
Autosys | BigQuery | Change Management | Cloud Build | Cloud Deployment Manager | Cloud Monitoring | Cloud Storage | Cloud deployment | Cloud logging | Cloud platform | Cloud services | Control-M | DB2 | Data Management Cloud | Dataflow | Dataproc | Deployment Manager | ETL | GitHub | Google Cloud | Google Cloud Platform | Informatica Data Management | Informatica Data Management Cloud | Informatica Intelligent Cloud | Informatica Intelligent Cloud Services | Informatica PowerCenter | Intelligent Cloud Services | Jira | Microsoft SQL | Microsoft SQL Server | Nexus Query Chameleon | Oracle | Power BI | PubSub | Putty | Python | Remedy | SQL Server | ServiceNow | Shell Scripting | Splunk | TOAD | Tableau | Terraform
Education
N/A
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