Data Engineer

 Job Title:

Data Engineer

Location:

Hillsboro, Oregon (This position is eligible for part-time work from home)

Position Duties:

Work with Solution Architect & Staff Foundry Engineers to modernize data analytics system and capability for the Global Operations and Quality engineering departments.

Responsibilities:
•          Design, develop and manage tools leveraging AI/ML & big data technique to support ongoing business reporting, data warehousing and BI solutions.
•          Collaborate with Solution Architect to build processes and structure based on business & technical requirements to expand analytic intelligence capabilities.
•          Work with Data Engineering counterparts to develop the data pipeline and metric definitions.
•          Build various data visualizations to tell the story of trends, pattern and outliers.
•          Work with Yield staff engineers to understand analytics use cases, determine data reporting and analysis requirements and translate business requirements into clear metrics.
•          Support targeted ad hoc analysis methodologies to look for systematic low yield signal.
•          Own the design and development of automated solutions for recurring reporting and in-depth analysis.
•          Support continuous business performance optimization by performing deep-dive analysis to form actionable recommendation and presenting these recommendation to business leaders to drive decisions.
•          Assist in data administration, modeling and integration activities in data warehouse solutions.
•          Ensure data accuracy by validating data for new and existing tools.
•          Optimize data pipeline & monitor system, creating dashboard for effective data integrity monitor.

Minimum Requirements:

Master in Computer Science, Manufacturing Engineering or related field

2 years’ experience as Data Engineer, Software Engineer or researcher

Knowledge of the following through education and/or work experience:
•          SQL for storing and processing data
•          Programming languages & libraries: Python and HTML/CSS
•          Snowflake, AWS or other cloud-based data warehouse solution
•          Data and database operation management: table query, store procedure, and data pipeline building
•          Code version control with one or more tools: Github, Apache, AWS CodeCommit
•          Building visualization with BI tools: Streamlit and Tableau
•          Data analytics in Semiconductor manufacturing environment
•          Data integrity solution: data validation & verification for ingestion pipeline
•          Communication of technical concepts to mixed audiences of technical and business backgrounds