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PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field. Broad knowledge of Computer Systems, Software engineering and Embedded Systems.
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The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. 3+ years experience working in data engineering, business intelligence, or a similar role.
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Experience with cloud-hosted systems and related tooling, including computing services AWS EC2, Google Compute Engine, container orchestration Kubernetes, Docker, and database and data warehouse platforms Amazon RDS, Google BigQuery.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions.
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Unique Selling Points: Contributing to making hardware for augmented reality and improving it using a hardware engineering focused view of the program in all of the data that's required to do so.
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Report production and tool issues to Production Team, Wafer Fab Engineering Team and Management. Perform computer data entry (Transactions) In order to get from one work station to another, employees are required to stand and walk for extended periods of time (about 10 hours) in the wafer fab.
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Master's degree in computer science, management information systems, industrial engineering, engineering management, business, information systems, project/program management, information technology, finance, management, or related area, 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.
$96,000 - $202,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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With a PhD degree in Electrical Engineering, Physics, or Materials Sciences, you bring profound expertise in advanced semiconductor devices and process technology. PhD degree in Electrical Engineering, Physics, Materials Sciences, or a related field.
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As a senior business solution architect (BSA) for master data management (MDM) & data quality management (DQM) focused on end-to-end engineering & manufacturing (Engg. & Mfg.) and product lifecycle management (PLM) processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
$148,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD., or Master’s degree in Optics, Electrical Engineering, Mechanical Engineering or Physics with experience in Optical Design, Lithography, semiconductor/EDA industry. Perform qualification test, lead wafer validation and generate proof data, provide training slides, user guide and other technical documents.
$143,250 - $238,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of GD&T and engineering drawing interpretation, Designs of Experiments (DOE), and statistical process control methods and theory (SPC, CPK). · 3-5+ years of experience in mechanical engineering within the consumer electronics industry.
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Data Storage technology (SSD, HDD, etc) Research and develop new capabilities within the data domains (data ingest, data integration, data labeling, data cleansing, data processing, data and AI analytics, data management.
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data mining engineering visualization jobs Title: data analyst Company: Keylent Inc in Sunnyvale, CA
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