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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Strong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Hive/Apache Iceberg/Delta Lake, Apache Presto/Trino, Apache Pinot, etc. Strong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Hive/Apache Iceberg/Delta Lake, Apache Presto/Trino, Apache Pinot, etc.
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine.
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Familiarity with data warehousing, ETL processes, and big data technologies like Hadoop, Spark, and Kafka. Udacity has more than 100 enterprise customers including Airbus, Bertelsmann, BNP Paribas, Leidos, Mazda, and the United States Air Force.
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The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, Hadoop, etc.) Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX.
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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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Data Processing - Strong understanding and hands-on knowledge of Tableau, PowerBI, WebMethods (middleware), Hadoop functions and ETL tools (Tableau Prep, Azure Data Factory) Data Processing - Strong understanding and hands-on knowledge of Tableau, PowerBI, WebMethods (middleware), Hadoop functions and ETL tools (Tableau Prep, Azure Data Factory.
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Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Preferred] Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, OpenStack, Hadoop, Spark, Flink, etc. Our data infrastructure Site Reliability Engineering (SRE) team is a pioneer in innovation.
$187,040 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS. Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS.
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Experience with the following technologies:, Apache Hadoop, Apache Spark, SQL, NoSQL, Dask, Pandas, Cloud Storage (S3, ADLS, GCS). Experience with the following technologies:, Apache Hadoop, Apache Spark, SQL, NoSQL, Dask, Pandas, Cloud Storage (S3, ADLS, GCS.
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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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Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery. Fluent in SQL, Excel, and visualization tools such as Tableau or Qlikview; experience with a statistical programming language like R or Python preferred.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Supermicro Computer, Inc. is looking for a Sales Director responsible for maintaining the quality, efficiency, and integrity of Supermicro's sales process through various means of marketing activities and working with cross functional teams, including Engineering, Finance, Logistics, and Programs.
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hadoop job in Sunnyvale, CA
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