Manager, Data Engineering
Austin, TX, United States
USD 87K-135K (estimate) Mid-level Full Time
Tasks
- Coordinate investigations and resolutions
- Detect troubleshoot resolve production issues
- Develop ETL pipelines
- Ensure production readiness standards
- Maintain ETL pipelines
- Perform change management for production releases
- Provide data access for production systems
- Support change management processes
- Support distributed big data applications
- Support incident management
- Update knowledge repository
Perks/Benefits
- 401k match
- Employee stock purchase plan
- Health, dental, vision insurance
- Hybrid remote work schedule
- Paid parental leave
- Paid vacation
- Sabbatical
- Tuition reimbursement
- Volunteering time
Skills/Tech-stack
Autosys | Big Data | Change Management | Cloud Dataflow | Cloud Storage | Cloud services | Control-M | DB2 | ETL | GitHub | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Storage | Hive | Incident Management | Informatica Intelligent Cloud | Informatica Intelligent Cloud Services | Intelligent Cloud Services | Jira | Microsoft SQL | Microsoft SQL Server | Nexus Query Chameleon | Oracle | Production Readiness | Putty | Python | Remedy | SQL Server | ServiceNow | Shell Scripting | Snowflake | Splunk | TOAD | Talend | Teradata
Education
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