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Requires SQL for data warehouse work and Python (and/or R) for development of machine learning functions. We are seeking a Data Analysis/Scientist will collect, analyze, and interpret vast amounts of product and service data from various enterprise systems using analytical, statistical, and programming skills within KLA's Global Support Services (GSS) business unit.
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Other titles : HVAC Technician, Field Service Technician, Data Center Facilities Engineer, Facilities Technician, If you enjoy working on critical data center systems (UPSs, PDUs, Diesel Generators, ATS equipment and Building Controls), as well as industrial electrical equipment and systems that include power distribution components/wiring, electronic components and lighting systems.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$90,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Support the integration of various data sources such as ADDM, SCCM, Casper, AD, bulk data, etc., into the Atrium CMDB from the data perspective. Experience mapping the data source attributes to various Atrium CMDB configuration item classes and establishing relationships.
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The Arcadis Team is looking to add a Program Scheduler & Data Management Strategist professional to their Team. The ideal candidate would be very comfortable analysing large volume of data for one of Arcadis's key technology clients, but will also have deep knowledge working with program schedules for our fast moving data center construction program.
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Research Scientist (Data analytics, Machine Learning, Computer Vision) page is loaded. In this role, you will acquire a deep understanding of the data acquisition pipeline in KLA’s optical inspectors.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. By integrating this data with our online systems, we empower multiple business lines, drive critical machine learning models, and fuel fast-paced experimentation.
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Create and analyze project schedules using Primavera P6 for a portfolio of global data center programs. Projects are diverse, ranging from high-tech mission critical new data center scopes to operational data center moves to retrofit changes.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Center Construction Project Manager- Owner's Rep Portland, OR. We are looking for a Data Center Construction Project Manager to support critical facility construction projects. Experience managing Data Center Construction Projects as an Owner or as a General Contractor.
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Experience with creating data visualizations using tools like MatplotLib, Seaborn, Tableau or Power BI.A strong understanding of FDA regulatory standards and compliance requirements. KNOWLEDGE, EXPERIENCE & SKILLS Master’s or PhD in Data Science, Computer Science, Engineering, Statistics, Biostatistics, or a related field.
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Local data professionals regularly interact with our students through teaching classes, speaking at seminars, sponsoring internships, and supervising capstone projects. The department is an academic hub, in partnership with other SJSU departments and industry partners, for promoting education and research in applied data science.
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Title: data Company: Pwc in Milpitas, CA
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