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Skilled in MySQL, Big Data, Hive-Hadoop, Scala, PyTorch, Spark, TensorFlow, and data modeling. Data Scientist: The Cloud Capacity Planning and Analytics team at client's is an innovative, customer-focused group responsible for capacity demand planning, forecasting, cost measurement, reporting, and analysis for client's top-tier infrastructure.
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As a Software Developer, you have the opportunity to lead the paradigm shift in streaming Big Data by building applications on top of cutting-edge AWS technologies such as Kinesis, EMR, DynamoDB, Redshift, Aurora, and many more.
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Primary Skills: Java/Python, AI/ML forecasting, Data Modeling, Statistical Regression, Big Data. Experience with Java/Python, Big Data technologies, and data modeling.
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Processing Big data using BigQuery and Apache Hive; Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, other company priorities.
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Experience with Big Data & Analytic solutions like Hadoop, streaming frameworks like Kafka, and Big Data technologies like Hadoop, Apache Spark, and Apache Ignite. Excellent knowledge of data structures, algorithms, and object-oriented programming.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Big Data and Analytics: Utilize big data technologies like Azure Databricks and Apache Spark to handle and analyze large volumes of data. Big Data Technologies: Knowledge of big data tools and technologies like Spark, Hive, Hadoop is a plus.
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Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. Manage multiple data center site/civil development projects in the due-diligence and master planning to pad ready phases.
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Strong technical expertise in Azure, Big Data, Apache Nifi, Hadoop, HDInsights, ADF, ADW etc. Extensive knowledge and experience in data warehousing, Streaming data processing (ETL), e-metrics/measurement, business intelligence, information retrieval, parallel and distributed computation.
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Experience with Big Data technologies (e.g. Hadoop, Spark, Azure Data Lake), ability to work with data platforms/technologies (e.g. Azure Data Explorer, Azure Functions, ADLS, Synapse etc.
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Russell Tobin's client, a cloud-based, AI-driven software company is hiring a Data Scientist to work in Kirkland, WA. Effective communicator with experience with the software industry's architecture and data visualization tools.
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10+ years of relevant experience with a master's in computer science or data analytics, or a PhD with 3 years of related experience. The Cloud Capacity Planning and Analytics team at client’s is an innovative, customer-focused group responsible for capacity demand planning, forecasting, cost measurement, reporting, and analysis for client’s top-tier infrastructure.
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Our Program Management Office drives and delivers cross-functional programs including Release Management, Release Big Rocks, Platform Engineering, Global Cloud Services (GCS), Regulated Markets, Cloud Security, M&A, Customer Upgrade Operations, and other critical strategic programs.
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Experience with open-source Big Data technologies and AWS cloud computing. Experience working with big data processing or many-terabyte datasets. As a Technical Program Manager, you will play a crucial role in managing and coordinating the efforts of these two innovative teams, driving projects that harness the power of AI and real-time data to transform transportation intelligence and traffic management.
$220,000Full-timeExpandApply NowActive JobUpdated Today
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