KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job Description
Job Description
We are seeking a skilled Data Engineer with a strong background in informatics to join our innovative team. In this role, you will be responsible for building and maintaining data pipelines, ensuring data quality and accessibility, and using your analytical skills to derive insights that will support our AI/ML/SW projects and strategies. Your contributions will help us advance our expertise in Data, Software and AI technologies within the IT organization at KLA.
Responsibilities:
- Develop and maintain scalable data pipelines and build new API integrations to support the increase in data volume and complexity.
- Collaborate with analytics and business teams to improve data models for business analytics tools, enhancing its data accessibility and encouraging data-driven decision making across the organization.
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key customers and business processes that depend on it.
- Perform data analysis required to tackle data related use cases and assist in the resolution of data issues.
- Design and evaluates open source and vendor tools for data informatics.
- Works closely with business partners and engineering teams to develop strategies for scalable data platform architecture.
Qualifications and Skills:
- Proven experience in Data Engineering, Computer Engineering, or a related field.
- Proficiency in SQL and familiarity with NoSQL databases.
- Experience with programming languages such as Python or Java.
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Experience with data warehousing solutions and ETL tools.
- Strong analytical and problem-solving skills.
- Excellent interpersonal skills and ability to work collaboratively.
Preferred Additional Qualifications:
- Familiarity with cloud-based data solutions (AWS, Azure, Snowflake).
- Experience in building and optimizing data pipelines, architectures, and data sets.
- Knowledge of managing and orchestrating cloud and HPC environments.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience Master's Level Degree and related work experience of 3 years Bachelor's Level Degree and related work experience of 5 years
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