Data Engineer (SMTS / LMTS) - MDM
California - San Francisco, United States
USD 148K-285K Senior-level Full Time
Tasks
- Build Airflow workflows and ETL ELT pipelines
- Build data quality validation and governance capabilities
- Design develop and maintain MDM integration systems
- Design optimize data models schemas and APIs
- Develop MuleSoft integrations and API orchestration layers
- Develop microservices for enterprise data integration
- Drive technical leadership and engineering standards
- Implement entity resolution and golden record lifecycle management
- Implement event driven architectures and Change Data Capture
- Perform troubleshooting root cause analysis and production issue resolution
- Provide monitoring alerting and operational support
Perks/Benefits
- N/A
Skills/Tech-stack
API Orchestration | AWS | Agentic Workflows | Airflow | Azure | Change Data Capture | Cloud Native | Cloud-native development | Data Capture | Data Governance | Data Management | Data Modeling | Data Quality | Database Design | ELT | ETL | Entity Resolution | Event Driven | Event-driven architecture | GCP | Generative AI | Golden Record management | Golden record | Hierarchy Management | Informatica | Java | Kafka | Master Data | Master Data Management | Microservices | MuleSoft | Native Development | REST APIs | Record management | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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