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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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Python and PySpark serve as our primary programming languages, in addition to SQL for extracting data from Hadoop and other databases. The Role will interact with a wide variety of stakeholders including Financial Crimes Investigations, business risk managers, model developers, model risk management, model implementation, and technology teams.
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Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure. Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop. Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$73,100 - $166,000 a yearPart-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka. Knowledge of data warehousing concepts and technologies like Snowflake or Redshift. Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data warehousing using AWS Redshift, MySQL, or Snowflake. Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with Python, SQL, Scala, or Java. 2+ years of experience in data engineering, software development, machine learning or data science.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink. Experience working with various AWS Services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue Catalog.
$60 - $75 an hourExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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AWS, Glue, Lambda, EMR, Snowflake, RedShift, Python, Scala, Java, Hadoop, Spark, Kafka, Hive, API Handling, API Development,Custom Data pipeline development,Data Migration, Oracle, SQL server, Batch Data Pipelines, Agile.
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Data Processing Frameworks: Implement and optimize data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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Experience with applying machine learning techniques to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets. As a Machine Learning Data Scientist at Meta, you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry and the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs.
$173,000 - $242,000 a yearFull-timeExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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In depth experience with Spark/Hadoop and PyTorch/Tensorflow. Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
$143,616 - $215,424 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Assist in the development of a big data platform in Hadoop using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications. Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.
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