Lead Fleet Reliability Data Engineer
Tasks
- Automate data preparation reconciliation and reporting
- Build fleet asset model
- Build fleet data APIs and services
- Communicate data limitations and remediation plans
- Create curated reliability datasets
- Create governed analysis ready data products
- Define data quality rules
- Design data pipelines
- Develop fleet master data standards
- Establish intervention traceability
- Implement automated data controls
- Implement monitoring and alerting for pipelines
- Ingest and integrate operational data
- Integrate data from industrial systems
- Link events alarms with maintenance actions
- Maintain data lineage and technical documentation
- Manage access control retention and privacy
- Migrate and harmonize historical fleet data
- Structure investigation data for RCA
- Support data governance and ownership culture
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Airflow | Alerting | Automated testing | Automation | Azure | CI/CD | Containerization | DBT | Data Catalog | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Validation | Databricks | ELT | ETL | Error Handling | Google Cloud | IEC | Industrial Historians | Infrastructure as Code | Kafka | Knowledge graphs | Master Data | Master Data Management | Metadata | Metadata catalog | Modbus | Monitoring | OPC UA | Observability | Python | Reconciliation | Relational databases | SCADA | SQL | Schema Design | Semantic layer | Series data | Snowflake | Spark | Testing | Time Series | Time Series Data | Version control | “as-code”
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