Director, Data Engineering & Analytics
Tasks
- Build analytics-ready datasets
- Define outcome based metrics
- Deliver end-to-end data pipelines
- Design modular dataset processing framework
- Develop real time process monitoring and control
- Enable AI ML and digital twins
- Ensure data integrity and auditability
- Guide offshore data partner team
- Implement data governance and compliance
- Integrate unified data model
- Lead data engineering team
- Lead knowledge management strategy
- Lead proof of concepts for new data engineering approaches
- Maintain data quality harmonization observability and lifecycle
- Manage security by design
- Mentor data engineers
- Optimize existing data engineering solutions
- Optimize manufacturing analytics models
- Own data connectivity standards
- Own data engineering strategy and roadmap
- Support complex data analysis investigations
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Artificial Intelligence | Auditability | Automation | Batch Processing | Data Engineering | Data Governance | Data Lab | Data Lineage | Data Observability | Data Pipelines | Data Quality | Data Security | Data integration | Databricks | Digital Twins | Distributed Computing | Domino Data Lab | GxP | Image data | Lifecycle Management | MLOps | Machine Learning | Manufacturing analytics | Model Lifecycle | Model Lifecycle Management | Series data | Spark | Spectra data | Streaming Data | Time Series | Time Series Data | UDM
Education
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