Lead Fleet Reliability Data Engineer
Tasks
- Automate data preparation and reconciliation
- Build APIs and data services
- Build automated data validation controls
- Communicate data quality risks
- Create reliability datasets
- Define fleet master data standards
- Design data pipelines
- Develop fleet asset model
- Establish intervention traceability
- Implement data quality rules
- Implement pipeline monitoring and alerting
- Ingest and integrate operational telemetry
- Integrate industrial data sources
- Link events to maintenance actions
- Maintain data lineage and documentation
- Migrate and harmonize historical data
- Provide governed data products for analytics
- Structure investigation data for RCA
- Support access control and data governance
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Airflow | Automated testing | Azure | CI/CD | Containerization | Cybersecurity | DBT | Data Catalog | Data Governance | Data Lakes | Data Lineage | Data Management | Data Modeling | Data Quality | DataOps | Databricks | DevOps | Distributed Processing | ELT | ETL | Error Handling | Google Cloud | IEC | Industrial Time Series | Infrastructure as Code | Kafka | Knowledge graph | Lakehouse | Machine Learning | Master Data | Master Data Management | Metadata catalog | Modbus | Monitoring | Near-real-time | OPC UA | Observability | Predictive Analytics | Python | Real Time | Reconciliation | Relational databases | SCADA | SQL | Schema | Semantic layer | Series data | Snowflake | Spark | Streaming Data | Time Series | Time Series Data | Traceability | Version control | Workflow Orchestration | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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