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Hands-on experience on open source technologies Spark, Hadoop Stack, Kafka. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP.
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Experience with batch and data streaming technologies (Hadoop, Spark, Kafka, Flink, etc.) Experience with batch and data streaming technologies (Hadoop, Spark, Kafka, Flink, etc.) To that end, we are innovating rapidly in the ad-tech space and there is no shortage of new challenges for motivated individuals.
$149,200 - $234,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data pipelines using Hadoop and Apache Spark is a plus. Experience with Apache Kafka and Apache Solr is a plus. Experience with big data pipelines using Hadoop and Apache Spark is a plus.
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Familiarity with streaming and distributed computing technologies such as Kafka, Spark, Hadoop, Impala, Postgres. Familiarity with streaming and distributed computing technologies such as Kafka, Spark, Hadoop, Impala, Postgres.
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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. 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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Understanding of big data technologies (e.g., Hadoop, Spark, Kafka) Knowledge of machine learning frameworks (TensorFlow, PyTorch) and model training platforms. You will be part of the FSO engineering team, building AI/ML solutions.
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10+yrs with big data technologies like Hadoop, Spark, or Kafka. We are a rapidly growing venture capital-backed medical technology startup. 10+yrs with big data technologies like Hadoop, Spark, or Kafka.
$170,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper. Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in Big data (Hadoop, Spark, Kafka, etc.) AWS Services like S3, Glue, Athena, EMR, Lambda, RDS, AppFlow, Kendra, Quick Sight. Experience in Big data (Hadoop, Spark, Kafka, etc.
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Bulk operations (Data load and unload) on databases and warehouses, expertise on big data projects. Good knowledge in tools like JIRA, Confluence. Application development using Phyton/PySpark ,Java, Microservices or REST APIs.
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Understand capability of applications and their generated transaction and event data (SAP, Adobe’s marketing tools, Hadoop/Kafka streams) and effectively navigate the data domains to identify and inform business partners and engineering on best source for each use case.
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Are experienced in building and operating solutions using distributed data processing systems on large scale production environments (e.g. Hadoop, Kafka, Flink, Spark) or are interested.
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Experience with big data technologies like Hadoop, Spark, Flink, and Kafka is a plus. Experience with big data technologies like Hadoop, Spark, Flink, and Kafka is a plus. Our technology stack includes Node.js front end app and Java/Scala based back-end.
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Experience in Streaming technologies i.e. Kafka. Experience with large data sets and related Big Data technologies, e.g., Hadoop/Spark/Hive. Advertising is one of the fastest growing areas in eBay which in some ways, will define the future of eBay. As they shift budget from the duopoly of Google and Facebook, it creates a huge opportunity for eBay. Advertising is also amplifying eBay’s e-commerce by providing a tool for our sellers to move inventory and for buyers, by surfacing high quality items.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Spark, Hadoop, Hbase, Cassandra, Kafka, ElasticSearch. We love using and learning about the latest technologies such as Spark, NoSQL database, Kafka, and Kubernetes. AWS, GCP, Alibaba Cloud, Azure, Terraform, Spark, Cassandra,Terraform, Prometheus/InfluxDB, Zabbix, etc.
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hadoop kafka jobs in Sunnyvale, CA
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