Job Location: Hillsboro, OR
Senior Data Engineering Manager
Position Duties:
Responsible for overseeing the work of five computer science engineers working with internal and external resources to drive direction, design outcomes, develop roadmaps, oversee solution implementations, and sustain a central GOQ cloud dbase. Duties include:
- Develop reporting/analytic capabilities that provide real-time insights into the manufacturing process.
- Strong Collaboration with cross functional teams to transfer, translate and cleanse data during database ingestion ensuring consistent, quality results.
- Sustain and augment the reporting capabilities of the database over time.
- Keep apprised of cloud-based technologies to Extend & Enhance the database as new products, new capabilities or new analytic requests arise and demonstrate value.
- Oversee the Design and Maintenance of a customer portal facilitating access into the database while maintaining the highest levels of data security.
- Use big data & advanced analytics tools, Machine Learning and AI analysis & prediction techniques to maximize yields, lower costs and prevent quality excursions.
- Interface with engineers in many disciplines: IT, R&D, Quality & Reliability, Manufacturing Test, Foundry & Product Engineering, and Product Planning.
- Collaborate & influence others across GOQ to remain focused on Roadmap items, critical path delivery, and all project deadlines.
- Prepare training materials to support ongoing maintenance and support user adoption of the platform.
Minimum Requirements:
MS in Computer Science, Mathematics, Data Science, Analytics or related field
5 years of experience as a Data Engineer and/or Data Scientist
Prior experience to include:
- Managing a data team
- Python, R, SQL, Pandas, Numpy, scikit-learn, Spark
- GPU acceleration using RAPIDS, Numba, jit, CUDA
- AWS Fargate, Elasticache, VPC, Subnets, Terraform, Airflow, Docker, Git
- Tableau or PowerBI
- Training machine-learning and deep-learning applications using Keras and PyTorch
- Software development life cycle and unit testing
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