Senior Data Integration Operations Engineerr
Tasks
- Administer data integration platform environments
- Apply change management with testing and rollback
- Automate operational workflows
- Configure connectors
- Coordinate incident response
- Detect data quality issues
- Document runbooks and procedures
- Implement data observability and monitoring
- Manage ETL and ELT workflows
- Manage schema changes
- Monitor data integration pipelines
- Perform performance tuning
- Respond to alerts and incidents
- Schedule and run integration jobs
- Troubleshoot pipeline failures
Perks/Benefits
- 24 7 availability on rotating basis
- Documentation and knowledge management support
- Hybrid work schedule
- Rotating on-call
Skills/Tech-stack
AWS | Access Control | Automation | Azure | Best practices | CI/CD | Cloud platform | Containers | Data Lakehouse | Data Management Cloud | Data Observability | Data Pipeline Monitoring | Data Quality | Data pipeline | Databricks | Delta Lake | ELT | ETL | Fivetran | Google Cloud | Google Cloud Platform | IT Service Management | IT service | Incident Management | Incremental load | Informatica Intelligent Data Management Cloud | Informatica PowerCenter | Infrastructure as Code | Intelligent Data Management Cloud | Kubernetes | Medallion Architecture | Performance Tuning | Pipeline monitoring | Python | SQL | Schema evolution | Security best practices | Service Management | Snowflake | Vulnerability Management | “as-code”
Regions
Countries
States
Cities
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