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3+ years of experience with big data and SIEM solutions such as ArcSight, Splunk, ElasticSearch, Logstash, Azure Data Explorer, Azure Log Analytics, Azure Data Lake, or Azure Sentinel.
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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6+ years of experience working in data science, data engineering, software engineering, or MLOps6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
$151,800 - $253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Mentor junior team members Basic Qualifications Master in Computer Science/Engineering or equivalent industry experience with a focus on computer graphics and real-time rendering.
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SoFi's Data Science team is seeking an experienced Senior Staff Data Scientist to help lead our machine learning efforts. The ideal candidate has a deep understanding of machine learning algorithms, strong programming skills, and a proven track record of driving successful data science projects from conception to deployment.
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Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.
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Rust, Go) Master's degree and/or Doctor of Philosophy in security engineering, cyber security, computer science, engineering, math, or STEM discipline Experience building automation between tools and systems Experience performing analytics against aggregated log data, and building configurations to parse and handle.
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Engagements vary from being purely consultative to requiring heavy hands-on work and cover a diverse array of domain areas, such as data migrations, data archival and disaster recovery, and big data analytics solutions requiring batch or streaming data pipelines, data lakes and data warehouses.
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Experience with a data catalog tool such as Alation, Collibra, or Informatica Axon. 5+ years of hands-on experience in Data Stewardship, Master Data Management, Data Quality, or Metadata Management field.
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Bachelor's degree in Computer Science, Engineering, or related field. The candidate must also have experience in data modelling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow.
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Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics, Data Science) Experience with big data technologies (e.g. Hadoop, Spark, BigQuery.
$116,500 - $164,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Masters or PhD (or equivalent industry or research experience) in a quantitative field like Operations Research, Applied Mathematics, Computer Science, Econometrics, etc. Provide optimization, data science, and analytical expertise and serve as a mentor to junior data scientists and a subject matter expert to others in the organization.
$201,330 - $223,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data Engineer – With Databricks and Unity Catalog. Design and implement data architecture and strategy, leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
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computer science big data jobs Title: professor assistant in Bellevue, WA
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