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Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack) ○ Understanding of the Cloudera Big Data Stack. ○ Data mining languages and packages (e.g. R, Python.
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Experience working with big data (engineering / processing) and data migration. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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As a Capital One Software Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: Java, Python, REST APIs, and AWS/Cloud Infrastructure to name a few.
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Deep experience selling within the Consumption, SaaS, IaaS, PaaS, Database, Open Source, Cloud, Messaging, or Big Data space. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Cardinal Health Senior Data Scientist Providence , Rhode Island Apply Now Fuse is on a mission to disrupt healthcare.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in Azure/GCP (Big Query, GCS, Pub/Sub, DataProc, Airflow/Composer, Snowflake, Azure Cloud Services etc.) Certified Cloud Engineer in Data engineering track: Azure/GCP preferred.
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Apply technical knowledge to help CSAs and customers architect solutions that meet business and IT needs, infusing key analytics/AI technologies where needed (e.g. Big Data, Data Lake, Databricks, and frameworks such as Pytorch and Tensor flow, etc.
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Should you be chosen for this team, you will find the uncanny unique opportunity to learn the most savvy HCM innovation, GenAI, big data, worker experience design, and more AND help clients understand the when, what and why to digital transformation.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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The next generation of silicon and wide-bandgap (SiC and GaN) solutions provides unparalleled performance and reliability for 5G, big data, and renewable energy applications. The portfolio includes power, connectivity, RF, and sensor system technologies to develop smaller, lighter, smarter, and more efficient solutions for consumer devices, smart home/building applications, robotics, computing and data centers, charging devices, power tools, and much more.
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The company operates as a mission-critical application development center and consulting firm, offering challenging opportunities in front-end and back-end web application development, UX design, project management, business analysis, business intelligence, big data, and more.
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Contribute to the enhancement of data analytics/visualization and Robotic Process Automation tools within the team. 4+ years of experience in Big 4 public accounting or multinational companies, focusing on Risk/Internal Audit.
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