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Key Highlights
- Over 100,000 employees globally
- Headquartered in Mountain View, California
- Parent company Alphabet Inc. valued at $1.5 trillion
- Google Cloud Platform serves millions of customers
Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...
π Benefits
Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...
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Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...
Overview
Google is hiring a Machine Learning Data and Analytics Engineer to design and maintain data infrastructure for semiconductor manufacturing. You'll work with Python, Airflow, and BigQuery to develop data processing tools and operational dashboards. This position requires 5 years of experience in data workflows and analytics.
Job Description
Who you are
You have a Bachelor's degree or equivalent practical experience and at least 5 years of experience using Python (Pandas, NumPy) or Java to develop data processing tools or automation scripts. Your expertise includes managing data workflows using tools like Airflow, dbt, or Prefect, and you have experience building and querying data within BigQuery, Snowflake, or Redshift environments. You are skilled in developing operational dashboards using Looker, Tableau, or Power BI, and you have a strong understanding of semiconductor manufacturing data or large-scale industrial datasets.
You possess the ability to manage complex data exchanges and integration workflows with external foundry or assembly partners. You can identify manufacturing anomalies and explain architectures to non-technical stakeholders. You believe that a problem isnβt truly solved until itβs solved for all, and you are committed to building products that create opportunities for everyone.
What you'll do
As a Machine Learning Data and Analytics Engineer at Google, you will be the architect of manufacturing intelligence. You will design, build, and maintain the data infrastructure that transforms fragmented data into actionable insights. Your role will involve developing and optimizing data schemas that support high-speed ingestion and complex investigative querying for real-time decision-making. You will partner with Operations and Engineering teams to translate business requirements into technical solutions while ensuring platform reliability and performance.
You will lead the development of visualizations and high-impact dashboards to monitor critical KPIs and production health metrics. Your responsibilities will include collaborating with cross-functional teams to ensure that data solutions meet the needs of various stakeholders. You will also be involved in identifying opportunities for process improvements and implementing best practices in data management and analytics.
What we offer
At Google, you will be part of a team that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work on cutting-edge technologies and contribute to projects that have a significant impact on the semiconductor industry. We offer a competitive salary and benefits package, along with a supportive work environment that fosters professional growth and development.
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