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Our ALOHA™ and Voltaix® products are critical to the manufacturer of the newest computer chips required for Big Data and the Internet of Things. Reporting to the Sr. Director Process Engineering, the Process Engineering Manager is responsible for providing technical leadership to ensure the control, optimization and development of existing or new processes.
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A+ colleagues — our team includes alumni from Goldman Sachs Digital Assets, DeFi protocols (e.g. Maker, Badger, Balancer), big tech (e.g. SpaceX, Microsoft, Salesforce), and traditional finance (Fortress, Bridgewater, Prospect.
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Perform architecture review of data analytical solutions using Qlik Sense. Designing data models in Qlik Sense to accommodate the application requirements. Extract, transform and load data from multiple data sources into the Qlik application.
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Stay current with technology trends and developments in the industry Big Data Ecosystem like Cloudera( CDP/CDH) and ETL Application monitoring knowledge. Assigned as the SRE expert to the Data Engineering Team. The data team manages all aspects of our data strategy, analysis, engineering, and machine learning.
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The newly created Manufacturing Intelligence organization within Client's Global Technology & Engineering will help to drive Client Global Supply toward 'Industry 4.0' capability through Big Data, Process Analytical Technology, Advanced Process Control, Artificial Intelligence and Robotics.
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Machine Learning, Cloud Computing, Data Integration, Data Management, Developer Tools. product strategy, product development, web development, mobile development, product consulting, UI development, digital marketing, innovation consulting, digital transformation, emerging technology, corporate venture, blockchain, data science, machine learning, design thinking, and user experience design.
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Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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Familiarity with simulation and data analysis tools for finite element, thermal, vibration, and stress analysis (Solidworks Simulation, Creo Mechanica, ANSYS) As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications.
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Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Collaborate with the TPG enterprise architects on an architecture defining our new data driven forecasting & planning strategy.
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The newly created Manufacturing Intelligence organization within Pfizer’s Global Technology & Engineering will help to drive Pfizer Global Supply toward ‘Industry 4.0’ capability through Big Data, Process Analytical Technology, Advanced Process Control, Artificial Intelligence and Robotics.
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Global Supply toward ‘Industry 4.0’ capability through Big Data, Process Analytical Technology, Advanced Process Control, Artificial Intelligence and Robotics. Familiarity with data science, machine learning and artificial intelligence.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Experience with on-prem and cloud-based data warehouses like Snowflake, Redshift, and Databricks. Data Governance: Establish and maintain data governance processes and standards to ensure data accuracy, consistency, and data security within the Workday Prism platform.
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Good Understanding of data warehousing concepts such as data migration and data integration in Amazon Web Services (AWS) cloud or similar platform. The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production.
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Key partnerships include Commercial, Real-World Evidence, Commercial Analytics, Medical Affairs and Market Access as well as outside GCSO with regional Commercial and Medical/Scientific Affairs teams, J&JIM R&D, J&J Technology (JJT) Data Sciences and broader J&JIM teams, and others.
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big data jobs Title: developer Company: Joveo Us in Raritan, NJ
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