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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.
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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Job Req ID: 24259 About Supermicro: 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.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners.
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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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5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc. 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc.
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Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with analyzing large data sets, using Hadoop, Spark Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies. Experience with analyzing large data sets, using Hadoop, Spark Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies.
$220,000 - $259,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Looker or similar Business Intelligence solutions; Experience with one or more of the following: Hadoop, Spark, Flume, Hive, Impala, SQL, BigQuery. Experience with Looker or similar Business Intelligence solutions; Experience with one or more of the following: Hadoop, Spark, Flume, Hive, Impala, SQL, BigQuery.
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4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required. Create data pipelines using Apache Hive, Apache Spark, Scala, Apache Kafka.
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Data Infrastructure, Spark, Kafka, Presto, Flink, Hadoop, AWS, EC2, S3, RDS, IAM, Kubernetes, Python, Java, Cassandra. Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, and Hadoop in both on-premise and AWS environments.
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Experience in the Big Data technologies(Hadoop, Hive, Spark, Presto, ClickHouse) You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem that impact user communications, content operations, content programming, music, and user support.
$194,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong understanding of data processing technologies and distributed computing frameworks (e.g. Hadoop, Hive, Airflow, Spark, DBT, Kafka, Flink) Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery.
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