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Experience with large data processing tools such as Hadoop, HBase, ElasticSearch, RabbitMQ, and Kafka. Experience with large data processing tools such as Hadoop, HBase, ElasticSearch, RabbitMQ, and Kafka.
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Highly proficient with querying relational databases and/or Hadoop (expertise with SQL, Hive, Python, etc.
$137,000 - $214,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Prior experience supporting platforms built using open-source technologies such as Apache Kafka, Spark, and Hadoop. You have experience developing data and/or ETL pipelines using Apache Spark framework or technologies such as Flink and Kafka.
$150,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understating and experience of testing Distributed Computing systems, preferably Hadoop, Cassandra, Kafka is a strong plus. Ability to use both stand alone tools (Curl, Postman) and CLI (Bash) to assist with testing.
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Big data processing, e.g. Spark/Hadoop. Workflow management tools, e.g. Apache Airflow. Good understanding of data processing concepts and data engineering process. Big data processing, e.g. Spark/Hadoop.
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Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc. Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large data sets.
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JAVA, Python, JIRA, Hadoop is required. Experience in two or more following tools: SQL, Tableau, C, C. Involved in data validation for post-production activities. May travel to client sites within the U.S. Salary Range: $116k to $200K. Employee referral program: Alpha Net Consulting gives $1000 (per selected candidate) to existing Alpha Net employees for referring their friends and/or colleagues for any open positions.
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Conduct research and develop tests to identify, down select, develop, and derisk new soft-good materials, including fibers, yarn and fabrics, and bio-leathers. The team is comprised of experts in metallurgy, polymer chemistry, composite materials, textiles and coatings.
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Experience with some of the DevOps standard tools such as docker, Cloudera, Hadoop, terraform, Jenkins, git, consul, Vault, etc. Experience with some of the DevOps standard tools such as docker, Cloudera, Hadoop, terraform, Jenkins, git, consul, Vault, etc.
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Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. As a Walmart Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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Experience in big data processing, e.g. Hadoop, SQL, Spark. Familiarity with frameworks such as Pytorch, tensorflow or JAX. Industrial experience with all of the following: classification, regression, GBM, recommendation systems, clustering, DeepLearning/Neural NetworksIndustrial experience with one or more of the following: NLP, Computer Vision, Multimodal Modeling , Large Language Modeling, Embedding based Retrieval.
$168,400 - $262,900Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with package management systems, such as yarn, Bower, etc. magazine's "World's Most Admired Companies" 9 of the last 10 years, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to innovation and excellence.
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Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between. Relevant industry experience is important (Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude.
$143,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience or knowledge in distributed data systems like Hadoop, Spark, Kafka or Flink. Experience or knowledge in distributed data systems like Hadoop, Spark, Kafka or Flink. The successful candidate will be responsible for ensuring complete data lineage and legal workflow integration while optimizing performance and scalability.
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Job Description Day to Day Responsibilities of this Position and Description of Project: Required Skill Sets: Experience with scientific computing language and big data knowledge, including Python, SQL, Hive, Hadoop, Spark etc.
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hadoop yarn jobs in Cupertino, CA
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