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Nice to Haves: 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.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role.
$234,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable, transparent, and intelligent big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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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. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
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Experience with big data technologies (, Hadoop, Spark) and data warehousing solutions. Sr. Data Engineer - Kohler Ventures Work Mode: Hybrid Location: Hybrid - 3 days/week onsiteat Palo Alto, CA or New York City, NYOpportunityKohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations.
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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. Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analytics - Big Data, Data Analysis and Insights, Statistical Programming LanguageAbout Walmart At Walmart, we help people save money so they can live better. Formulate strategies and action plans to optimize seller growth and increase seller adoption of ongoing initiativesUtilize analytics tools and languages such as Python, Looker (LookML), and SQL to analyze data and generate meaningful insightsCollaborate with Walmart Connect advertising team to develop and implement effective seller/advertiser growth strategies using data-driven insights.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role.
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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
$182,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to work with data sets at all sizes – from a small summary sheet to big dataCapability for developing ETL processes for new data sources Working with geographic data in with multiple formats, including open source grids, census geographies, and point data (latitude/longitude.
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big data jobs in Palo Alto, CA
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