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Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library. Data platforms like SQL, Cassandra or Hadoop.
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Big Data Technologies: Familiarity with big data platforms and technologies such as Hadoop, Spark, and distributed computing. Data Collection: Collect, acquire, and gather data from various sources, which may include databases, APIs, web scraping, and more.
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Edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Spark, and agile development practices.
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Experience in data architecture and modeling of analytical systems using Apache Hadoop and MongoDB, No-SQL technologies, highly desirable. Good amount of knowledge and experience in Weblogic, Tomcat and Various Development tools, like Eclipse, SQL developer, Angular, Android, Node tools.
$112,930 - $173,756 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in Docker or other containerization technologies and big data technologies (Hadoop, Spark) We are seeking a highly motivated and skilled Modern Platform Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops or other Data Engineering workloads.
$170,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Create data models in Hadoop, snowflake platform to enable visualization through BI tools like Microstrategy, Tableau etc. Develop data structures using Hadoop and Hana to build dashboards, reports and self-service templates.
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4+ years of experience in data validation or complex data intensive analysis that utilizes (big) data manipulation and processing techniques (SQL, MySQL, Hadoop, Spark etc) to ensure (connected) datasets are of high quality and therefore fit for analysis/reporting purposes.
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Exposure to common industry platforms and programming languages – Appian BPM, IBM WebSphere, Mule, LAMP/JBOSS, HADOOP, Java, Microsoft/. Exposure to common industry platforms and programming languages – Appian BPM, IBM WebSphere, Mule, LAMP/JBOSS, HADOOP, Java, Microsoft.
$94,247 - $160,220 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in developing and operating one or more of following systems: OpenStack, Kubernetes, Nginx, ipvs, ELK stack, Hadoop, etc. Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed infrastructures.
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Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduce. Real world experience using Hadoop and the related query engines (Hive / Impala) PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
$183,400 - $238,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, FinTech and more. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration.
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Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment. 7+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java or C.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$60,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Work experience with technologies such as Hadoop, HDFS; Serialization such as JSON or BSON. Solid understanding of Software Configuration Management (SCM, Agile methodologies, JIRA, GIT, Confluence and the Atlassian Tool Suite.
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Must have knowledge of and experience with Big Data technologies, Amazon Web Services (AWS), Azure, Amazon Redshift, HADOOP, NOSQL, Apache Kafka, Spark, Cassandr. Must have knowledge of and experience with Big Data technologies, Amazon Web Services (AWS), Azure, Amazon Redshift, HADOOP, NOSQL, Apache Kafka, Spark, Cassandr.
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