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Bachelor's or Masters degree in computer science, data science, statistics, mathematics, or a related field. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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To that end, we seek qualified data science candidates interested in applying their skills to organizational and educational assessment challenges. Are you interested in using innovative data science to help make decisions in high-stakes assessment settings affecting individual employees, students, members of the military, and credentialed professionals.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with building AWS cloud-native data science applications. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 3-5 years of experience in data engineering, or an equivalent combination of education and experience.
$110,400 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Open up opportunities with HPE.Job Description:Senior Big Data Platform EngineerHPE is looking for Big data platform engineers with a strong background in building robust and scalable solutions in data warehousing, ETL, big data/analytics, data science, and cloud platforms based on Hadoop/Cloudera , Data Bricks and other cloud platforms.
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Some experience understanding the AI/Client approachesMust understand the package management for various environments (Python, R, and Hadoop environments)Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive, and SparkPython, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 7+ years of experience in data engineering, or an equivalent combination of education and experience.
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Experience manipulating large datasets and databases with working knowledge of Hadoop, Databricks, or other big data cloud technologies. A bachelor’s degree in Business Analytics, Computer Science, Data Science, Econometrics, Engineering, MIS, Mathematics, Statistics, or a related quantitative discipline.
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As a Walmart Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). As a Senior Manager within Axtrias Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
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Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Nifi, Kafka, Scala, or Java. This is a chance to use your deep OS knowledge and broaden your skill set into areas like Cloud computing, large-scale data ingestion and processing, multiple data store types, including graph data, time series, spatial, and other NoSQL, high performance data streaming, data science, and supporting the integration of novel mission applications and analytics.
$84,600 - $193,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Job Req ID: 22873 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.
Full-timeExpandApply NowActive JobUpdated 7 days ago
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