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Perform data modeling and quantitative analysis to support one or more research projects focused on player and team performance. Experience using data and analytics to define and implement process improvements, focused on product development and/or data-driven decision making.
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The Fraud Analytics unit within the Data Reviews Division of the Office of Inspector General (OIG) is responsible for performing innovative and advanced data analytics to detect fraud, waste and abuse in state health and human services programs such as Medicaid, the Childrens Health Insurance Program (CHIP), Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) by supporting data-driven investigations, reviews, audits, and inspections.
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Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks.
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Tesla is looking for a highly motivated Senior Data Center Electrical Engineer with a robust background in data center operations and field engineering to lead the design, implementation, monitoring, and day-to-day maintenance of our data center facilities.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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GCP Data Engineer (Standard) with skills Big Data, Kafka, Python, Scala, Apache Spark for location Bangalore, India. Primary Skill: Data Engineering. Experience in Data Engineering.
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The Marketing Decisions Science team is working to rebuild and modernize our data architecture with a cloud first approach that uses code reusability through a standardized metadata driven approach, and we are looking for an experienced Senior Cloud Platform Data Engineer to own and lead the design of our modern data warehouse architecture and dbt platform for our Marketing Organization.
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Serves as a subject matter expert on HR data and reporting functions for project groups on the development, modification, and upgrades to the Centralized Accounting and Payroll/Personnel System (CAPPS) Human Capital Management (HCM.
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Working within a live-ops environment; collaborating with analytics to understand user behavior and react to live data. Developing extensible and data-driven solutions that can be easily operated in a live-ops environment.
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Engages in best practices in data analytics and data engineering - including robust validation processes, testing/deployment procedures, algorithms for data mining, version control and code integration, thorough documentation, and automation and streamlining of data processing pipelines.
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The selected candidates should understand and be proficient in the development of thermal/mechanical solutions at the silicon, package, and system-level for semi-conductor products; data analysis and characterization, optimization of packaging for increased quality and cost improvement of high-end semiconductor products such as microprocessors.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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You will also oversee and evolve Global Mobility and our People Analytics vision and strategy, taking our data solutions to the next level and scaling up our Mobility programs. You will oversee a small dedicated team of people analytics professionals who are passionate about data and taking our solutions to the next level.
$270,000 - $330,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AI/ML workloadsPerformance benchmarking Hardware accelerators and specialized devices (GPU, HPU, HPC) Git development workflowKubespray, Kops, or Kubadm Preferred Qualification:Slurm, Volcano, MPI, PyTorch, TensorFlow or other schedulers and AI domain frameworksOn-premises data center networkingCloud development or architecture (AWS, GCP, Azure, etc.
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Job Req ID: 24399 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$79,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data job in Austin, TX
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