Lattice Semiconductor Corp | Hiring | Senior Data Engineering Manager | Hillsboro, OR | United States | BigDataKB.com | 7 Oct 2022

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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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