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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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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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You will work with an engineering team accelerating Apache Spark with GPUs using CUDA and open source libraries. You will need to have previous experience working with Apache Spark applications, implementing big data applications for a variety of customers, programming skills, and familiarity with open source big data processing frameworks.
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As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Job Segment: Cloud, Embedded, Computer Science, Data Center, Engineer, Technology, Engineering. Bachelor or Master's degree in Computer Science or Computer Engineering with hands-on PM/Development experience in AI/ML architecture and Gen AI software & applications (e.g., LLM-based chatbots, AI vision, video/image analysis/detection, digital twins) is desirable.
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Job Req ID: 23787 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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A global automotive company is seeking a Sr. Research Scientist for research and engineering activities in quantum computing (QC). Previous experience in developing and deploying quantum computing software in hybrid or standalone context is a big plus.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain.
$110,000 - $176,100 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse. 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.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Working with Engineering teams and SRE's to develop, implement and improve Incident Management and Problem Management. Proficient in SQL and Experience with the Big-Data ecosystem (Spark, Hadoop, Hive, Pig, etc.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. -Use big data technology to evaluate and prioritize content discovery features. The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology.
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To achieve this goal, the Cloud Hardware Manufacturing Engineering (CHME) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive. DSI is a product strategy and engineering team that works closely with business development and sales finance.
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big engineering jobs Company: Capitalg Management Company Llc in Santa Clara, CA
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