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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) 14-16 Years of Data and Analytics experience with minimum 5+ years in one ore more of cloud platforms like Azure, AWS or Google Cloud Platform and Snowflake Cloud native data services.
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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 has 2+ years working with SQL and data visualization tools to query large data-sets (e.g. Presto/Trino, Spark SQL, Tableau, etc. 2+ years working with SQL and data visualization tools to query large data-sets (e.g. Presto/Trino, Spark SQL, Tableau, etc.
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Data Analysis: Analyze large datasets to identify trends, patterns, and insights related to customer behavior, market dynamics, and competitive pricing strategies. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable, transparent, and intelligent big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Founded in 2003, iParametrics is a recognized leader in emergency management, homeland security, cost estimating and data analytics for federal, state, and local clients, including the Department of Homeland Security (DHS), the Federal Emergency Management Agency (FEMA), the Department of Energy (DOE), the Department of Defense (DOD.
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Distributed data processing in Hadoop, Spark, BigQuery, or Apache Beam. The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer's experience.
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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.
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You will be responsible for quality and reliability as well as improvements in yield and manufacturability of PIC products using your skills and knowledge of statistical data analysis, semiconductor device physics, photonics, semiconductor processing, and testing.
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Deep understanding of prepress and printing technologies, including variable data applications and workflows and overall engineering and design process. Able to build effective presentation slides with data supporting different audiences, such as the Creative and Engineering groups.
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The purpose of the Senior Manager - Emerging Technologies - Endoluminal role on the GAVE (Global Access, Value & Economics) team is to develop and execute market access and patient access strategies to support commercialization of endoluminal technologies in pre-launch, launch and post-launch phases.
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Minimum of 5 years of experience as a Developer/Business Systems Analyst with a focus on QMS in the medical device industry, including expertise in Post Market Surveillance, Complaints Management, CAPA, Nonconformance, and Regulatory Submissions.
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Be able to make logistical decisions (when to dispose, what to donate or recycle, how to best complete a job, how to package items and load a truck, how to market during downtime). The franchise has been featured on The Oprah Winfrey Show, ABC’s Shark Tank, HGTV’s House Hunters, AMC’s The Pitch, Bravo’s The Millionaire Matchmaker, TLC’s Hoarding: Buried Alive and Fox Business, as well as in The Wall Street Journal, The New York Times, USA Today, Time magazine, The Huffington Post, Forbes, Inc. and more.
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Experience with cloud computing (e.g., infrastructure, storage, platforms and data), cloud market, engaged dynamics and customer buying behavior. Experience developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance.
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The Company operates stores across 34 states and the District of Columbia with 24 banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets and Balducci's Food Lovers Market.
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market data jobs Title: supervisor Company: Aramark in Sunnyvale, Schuyler, Nebraska
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