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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. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years working with key open source big-data projects as a contributor or committer including Delta Lake, Apache Iceberg, Apache Hudi, Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Storm and Apache Hive.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
$138,900 - $208,300 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) We are seeking a highly skilled and experienced Senior Data Engineer to join our HR Data and Analytics Team. As a Senior Data Engineer, you will play a crucial role in enabling analytics across the HR organization, empowering data-driven decision-making.
$137,000 - $214,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in analytics as it relates to Business Intelligence, Big Data Warehousing, Data Modeling, Data Integration, Data Governance, Data Observability tools.
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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 at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
$358,000 - $408,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Job Segment: Cloud, Manager, Data Center, MBA, Technology, Management. Identify, qualify, develop and close sales against quota to Government agencies and Data Centers/Cloud, Gaming, and HPC industries.
$171,000 - $230,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL) Demonstrable experience working with AI/ML researchers, setting up AI/ML data pipelines using standard frameworks like Spark, Kubernetes etc., on public cloud environments.
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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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We are searching for a talented and experienced Modern Data Stack Data Engineer to join our growing team. 5+ years of experience as a Data Engineer or similar role.
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Spark, Presto, Hive, Flink, Beam, AWS, Kubernetes, Scala, Java, Python, big data, data pipelines, Machine Learning. Fast learner and experience with other common big data open source technologies is a big plus.
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big data jobs Title: data engineer Company: Feed in Santa Clara, CA
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