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Big Data Lead (with Palantir Foundry) Expertise in Palantir Data Foundry, Ontology and Python knowledge. Palantir Data Foundry, Python, Hadoop DW Architecture, Hive and PySpark.
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Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). Experience with leading cloud and data platforms such as AWS, Databricks, Azure, Sagemaker, etc.
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Must have 5 years of Experience in Java Programming and in Big data technologies with hadoop, spark, kafka. Senior Lead Data Engineer - Bigdata, Java, Spark, Kafka - Client / Apex - Omaha, NE - Onsite.
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2+ years experience in at least one or more of the following areas: Diagnostic Imaging Post-Processing to include 3D reconstructions and analysis, Radiology Data migration and curation, Augmented Reality/Virtual Reality program development and modeling, CAD and 3D printing, computer programming, and/or big data/machine learning/artificial intelligence.
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8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing.
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This position is a crucial part of our project to enhance our data warehouse ETL process for understanding pharmaceutical transactions from CMS. As a Big Data – Data Processing Specialist, you will play a vital role in ensuring the efficient and accurate processing of large volumes of data, contributing to the success of our organization and our mission to provide valuable insights to our clients.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
$190,000 a yearRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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We are strong in Artificial Intelligence and Big Data and have a strategic partnership with Palantir to reduce O&M costs at treatment plants. Project related to stream restoration, stormwater management, drainage, collection system, water conveyance and storage, wastewater, and related transportation aspects for municipal, private, and state clients.
$152,500 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Solid understanding of Database Design Principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases, Big Data technologies, industry leading Cloud Storage solutions, Business Intelligence platforms, dashboards, data mining and visualization tools (Power BI.
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Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies Spark and Scala is required (Hadoop a plus) Structured and unstructured data. Experience on Hive, Sqoop, HBase, Yarn, UNIX Shell Scripting is a plus.
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A Specialist Senior at Deloitte works within an engagement team and is responsible for prototyping, process design (including scenario design, flow mapping), testing, training, development in APEX, DevOps. integrations, data migration, deployments, Visualforce, and lightning Aura. You have the opportunity to problem solve and troubleshoot with clients and lead multiple tasks.
$218,625 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Good understanding of big data technologies such as Apache Spark to process & handle large datasets. Good understanding of cloud data infrastructure including but not limited to Azure Data factory, Azure Synapse, Microsoft Fabric, Power BI.
$152,450 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark.
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