KLA Careers

Senior Data Engineer - Cloud Data warehouse

Company Overview

Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen.

Who are we?  We research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor and nanoelectronics industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We're passionate about creating solutions that drive progress and help people do what wouldn't be possible without us.  The future is calling. Will you answer?

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.

Responsibilities

  1. Required Skills & Experience:

    • Bachelors Degree in Computer Science or related fields.
    • Hands-on working knowledge in SQL, PL/SQL and with relational databases.
    • Experience in designing/building data models ( star-schema, multi-dimensional model, Summary/Aggregate models) based on Business Requirements
    • Experience in data warehousing ( ADW- Azure Data Warehouse, Snowflake, Teradata ), Distributed Databases ( MPP-Massive Parallel Processing architecture)
    • Experience in building data pipelines(Azure data factory or similar) and integrations to meet both Realtime data ingestion and batch loads with delta functionality.
    • Experience in developing, constructing, and maintaining ETL/ELT tools ( SSIS, Informatica), data warehouses, data lakes, and any associated data marts
    • Experience in programming and performance tuning of DB objects such as star schemas, tables, views, indexes, stored procs and functions.
    • Build processes supporting data transformation, metadata and workload management.
    • Must have experience working with On-site team (USA).
    • Must be self- motivated, track and follow-up with action items.

    Nice to have:

    • Knowledge in Power BI or other Data visualization tools.
    • Experience in SAP BW or SAP HANA, or reporting in SAP technologies.
    • Good knowledge of extracting data from cloud applications with REST APIs.
    • Experience in Python notebooks to build data pipelines. Experience with ML/AI algorithms.
    • ETL Technology: ADF.
    • Writing Transformations with T-SQL. 

Qualifications

  • Bachelor’s degree with engineering/MCA background with >75% scores great to have
  • Excellent oral and written communication skills
  • Good understanding of business process, must have had client interaction/collaboration experience and independent contributor
  • Proven background from SAP ECC, SAP CRM, SAP HANA technical and functional areas.

 

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