Data and Analytics Engineer, Machine Learning, Semiconductor

As a Machine Learning Data and Analytics Engineer, design, build, and maintain data infrastructure to transform fragmented information into a cohesive data ecosystem, enabling real-time data-driven decisions.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience using Python (Pandas, NumPy) or Java to develop data processing tools or automation scripts.
• Experience in managing data workflows using tools like Airflow, dbt, or Prefect.
• Experience in building and querying data within BigQuery, Snowflake, or Redshift environments.
• Experience in developing operational dashboards using Looker, Tableau, or Power BI.