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Knowledge of relevant security applications such as EDR, Azure MFA, SIEM plus knowledge of big data solutions and tools including snowflake, databricks, powerBI, and tableau. DataBee is the BU's growth engine and is an innovative security & compliance data fabric platform, a new market segment rapidly replacing SIEM and other legacy security & compliance toolsets.
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Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
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Experience in AI, Python programming, and Deep Learning frameworks, including PyTorch, MXNet, TensorFlow, Keras, and big data te chn ologies like Hive, PySpark, Synapse, and Databricks.
$158,800 - $295,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CGI is seeking a Data Engineer experienced with data migration, data prep on Azure, automating data pipelines, and building pipelines to extract and transform data in real-time.
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. We are seeking a highly skilled and motivated Senior Data Engineer (Infrastructure) to join our dynamic team at SiriusXM. As a Data Infrastructure Engineer, you will play a key role in designing, building, and maintaining robust, scalable, and secure data infrastructure used by our data professionals in order to fuel innovation, facilitate informed decision-making, and drive sustainable growth.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Knowledge of data testing in DBT and Google Cloud certifications are a big plus. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets in GCP.
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Help to maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL script and ‘big data’ technologies like Databricks.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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The Senior Analyst, Data Operations at Porsche Financial Services, Inc. (PFS) is part of the business unit Digital Transformation & Data Analytics and represents the interface between the data intelligence team and business operations.
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Preferred majors include, but are not limited to; Business Administration, Business Management, Information Technology, Computer Science, Data Science, Data Analytics, Business Analytics, Statistics, Healthcare Administration, Public Health, Health Informatics, Industrial/Organizational Psychology, Organizational Development, and Human Resources Management.
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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, soil/water/sludge/rock samples, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Knowledge in Big Data infrastructure (Kafka, Spark, Airflow, ElasticSearch) is a plus. Big Data - we are building modern data pipelines by leveraging Kafka, Spark and Airflow.
$110,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Function as a subject matter expert in multiple service areas of data security and operations – Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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big data jobs Title: machine learning engineer Company: Bytedance in Atlanta, GA
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