Senior Data Engineer

Company Overview

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.

Group/Division

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/Preferred Qualifications

SAP Data Ingestion & Integration

• Design and implement robust ingestion patterns from SAP source systems (S/4HANA/ECC/BW/HANA) and other cloud source systems into Snowflake using enterprise-approved integration tools.

• Build and maintain incremental loads (CDC), batch pipelines, and near-real-time ingestion where needed.

• Understand SAP functional domains and data structures (e.g., FI/CO, MM, SD, PP) to map business requirements to data models.

Snowflake Data Engineering & Modeling

• Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities (e.g., Snowpipe, Streams & Tasks, Dynamic Tables where applicable).