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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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Expertise with big data technologies such as Apache Spark, Databricks, Hadoop, or Hive. Proficiency in database systems and data warehousing technologies (e.g., PostgreSQL, SQL Server, Azure Synapse Analytics, Amazon Redshift.
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Track record of delivering successful Enterprise or Solution/Application integrations, with digital marketing tools and systems related to big data, analytics, testing & optimization, personalization, and activation.
$328,600 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Big Data: Managing Hadoop clusters, troubleshooting, migrating Hadoop workloads, architecting solutions, ETL pipelines with Spark, Apache Beam, messaging systems like Pub/Sub, Kafka.
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Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Our team has developed custom information systems using open-source technology commonly associated with streaming big data and microservices architectures. Looking for an operations focused Contract Dev Ops Engineer to deliver and maintain our Big Data Analytics and Benchmarking Automation systems.
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Expertise in one or more of the following: Serverless, Containers, IoT, Big Data Solutions, Security, Databases, and DevOps. As a Senior Software Engineer, you will tackle our most complex challenges, building high-quality, architecturally sound systems that align with our business needs and propel us forward.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ.
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As a Big Data Systems Engineer, you will play a critical role in ensuring our data infrastructure is robust, scalable, and reliable. Experience with large scale, big data query engines and technologies such as Trino, Presto, Iceberg, and Hive.
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Emulation include classic "big box" emulators, FPGA, N-1 silicon, APU software model (SimNow), as well and hybrid models utilizing the emulator and software sub-system models. Bachelors or Master's degree in Electrical or Computer Engineering 15+ years of semiconductor development with focused experience in emulation and other shift left (pre-silicon validation) technologies Knowledge of computer system architecture and microprocessor development.
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9+ years of experience in data engineering or analytics in distributed data systems, i.e., Druid, Snowflake, Redshift, CockroachDb, or Pinot (Druid experience preferred). Familiarity with other big data technologies (e.g., Hadoop, Spark, Kafka) is a plus.
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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.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Design & create the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale. One year of experience in Big data technologies such as BigQuery, Hadoop, SQL, Hive, GCP/Azure, Java, REST (nice to have.
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Experience with big data technologies (e.g. Hadoop, Spark, etc.) 3+ years of experience in a data engineering role. Bachelor's or Master's degree in a related field (e.g. Computer Science, Data Science, Engineering.
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