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Excellent understanding of the JavaScript language and ecosystem including front-end build tools (Webpack, Babel) and package managers (npm, Yarn) NET, Java, Scala, Kotlin, Rust, NodeJS, Go or Python.
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Be hands on – build high volume platforms using cutting-edge technologies like React , C# and Kotlin. Lead / Staff engineer is the key role in our technology organization working together with individual contributors and senior leadership.
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It’s expected from you in this role as Lead / Staff engineer to push Agoda forward technically by adopting new technologies and setting higher standards. Experience working on global projects serving world markets with distributed data centers and localization of the front end and data.
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Experience with Hadoop ecosystem components - HDFS, YARN, MapReduce & cluster management tools like Ambari or Cloudera Manager and related technologies. Experience with Hadoop ecosystem components - HDFS, YARN, MapReduce & cluster management tools like Ambari or Cloudera Manager and related technologies.
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Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase) Design complex data models and data pipelines across various internal products/systems/tech stacks within the ecosystem to solve problems focused on operational, analytical, and product use-cases.
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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. At least 3 + years of experience in developing web applications in client-side frameworks such as React, Angular, VueJS, etc.
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Edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #ENG #4. Agoda ha s several teams in front-end focusing on different aspects of our products including accommodations, flights, payments, marketing, post-booking services, and more.
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Excellent HTML/CSS skills – you understand not only how to build the data, but how to make it look great too. Experience leading teams and greenfield projects solving large system problems. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally.
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Job Title Big data Administrator Relevant Experience (in Yrs) Min 3-5 yrs Must Have Technical/Functional Skills " Proficiency in the Cloudera suite, including Kafka, HDFS, HBASE, KUDU, Zookeeper, HIVE, Impala, NIFI, SPARK, FLINK, Oozie, Yarn, Atlas, Ranger, RangerKMS, and KTS. " Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning.
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This position is based in Bangkok, Thailand (Relocation Provided) Agoda is an online travel booking platform for accommodations, flights, and more. These include our mobile websites, native apps, and desktop sites.
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5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. 5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos.
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5+ years of hands-on experience in architecting Big Data applications using the Hadoop ecosystem, such as Hadoop (HDFS, YARN, MapReduce), Spark (Spark SQL Spark Streaming, MLLib), Pig, Hive, HBase, Sqoop, Oozie.
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Deep knowledge of Hadoop ecosystem and Big Data technologies such as Spark, Hive, Hbase, Oozie, Kafka, YARN, SLURM. Deep knowledge of Hadoop ecosystem and Big Data technologies such as Spark, Hive, Hbase, Oozie, Kafka, YARN, SLURM.
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Responsible for monitoring, troubleshooting, automating and continuously developing tools to improve the availability and resiliency of the data ecosystem. Hadoop Site Reliability Engineer will be responsible for building and enhancing the tooling needed to deploy and operate Hadoop clusters at scale.
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We are looking for a Senior Hadoop SRE ( Hadoop Reliability Engineer ) to join our digital platform team for new initiatives. Senior Hadoop SRE ( Hadoop Reliability Engineer ) Expert in reliability Engineering, Incident management, Observability, monitoring, Incident management.
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