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As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
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Plumes technology stack is among the deepest in silicon valley, covering embedded firmware, mass data pipeline and processing, big data analytics, SDN controller framework, customer API integrations, WebUI management interfaces and consumer facing mobile apps.
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5+ years experience in role/s operationalizing data policies - e.g. data privacy operations, privacy regulatory compliance, security GRC, Trust & Safety function - executing cross-functional organizational processes in data governance/ digital transformation.
$140,700 - $211,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data modalities span technology-focused data (e.g., item location tracking through Bluetooth devices, actigraphy), questionnaire data, and biological data (e.g., biofluids, neuroimaging.
$27.88 - $36.54 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform.
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Big Data Technology Proficiency: Engage with a range of Big Data technologies, including but not limited to Spark, Presto, Hadoop/HDFS, Hive, and more. Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Data analysis and visualization experience (matlab, python, JMP) Act as both team lead and individual contributor to conduct detailed design work, create 3D models, drawings and drive design reviews.
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Experience with topics related to big data engineering such as data streaming, pipeline optimization, deployment, and data security. Customers like Airtel, Experian, Nielsen, PayPal, Snap, Verizon Media, Wayfair, and many others rely on Aerospike as the data foundation for the future to help them act in the microsecond moments that matter.
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Fluency in core set of Data Science. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced proficiency in data analysis tools, platforms and programming languages (e.g., SQL, Python, R, Tableau, Big Query, Google Sheets) 8+ years of proven experience in an analytical or data science role within the healthcare technology sector, preferably with a focus on customer value analytics.
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Proven experience conducting large scale data analysis and utilizing big data tools such as Maltego, Palantir, Tableau, etc. Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence.
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Compile and cleanse data in preparation for actuarial analyses using scripting languages such as R, SQL and Python etc. Whatever your decision about providing this data, it will not be considered in the hiring process or as a basis for employment decisions.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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big data jobs Title: technology lead Company: Big Blue Marble Academy in Menlo Park, CA
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