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7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven.
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Knowledge of distributed computing technologies such as Apache Spark, Hadoop, or Dask, and experience with containerization and orchestration technologies such as Docker and Kubernetes. Position Overview: As a Machine Learning Infrastructure Engineer, you'll play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in developing data-intensive applications (Apache Spark, Hadoop, Hive). As a software engineer, you will work coactively with the best in ML and data systems, building the foundation for understanding unstructured image and video data.
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Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. In this capacity, the Senior Data Engineer designs and develops systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence.
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Exposure to architectural patterns of large scale software applicationsExperience in shipping products to millions of customers or have started a new line of productExperience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/SparkDemonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
$280,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with Spark, Hadoop, Kafka, Hive, and SQL. We are looking for a strong Senior Data Scientist or Senior Machine Learning Engineer - a proven 'doer' to develop, implement and extend data-intensive machine learning software for real-time auctioning, ad inventory estimation, and audience segmentations.
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Strong understanding and practical experience with systems such as Hadoop, Spark, Presto, Iceberg, and Airflow. 5+ years of experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc.
$244,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Prior experience in building solutions with Hadoop, Spark, Cloud Platforms (AWS, Azure, et al). StreamSets, a high-growth big data innovator, is seeking a Solutions Engineer to bring our platform story to life for our customers and other stakeholders.
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Experience solving "big data" problems using clustered computing systems, such as MapReduce, Dataflow, Hadoop/Cosmos/Spark, Lucene/SOLR, Storm/Samza, etc. As a Sr/Staff software engineer working on IR, ML, and NLP, you'll be building our next generation content understanding, recommendation, and response prediction algorithms and models that power content relevance algorithms.
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Solid Java programmer with production-level hands-on experience on Hadoop MapReduce and HBase or Cassandra database. Run Hadoop MapReduce jobs to parse and process data (simple reporting, machine learning, etc.
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Must have: Strong knowledge of Spark, Hadoop, or Cloudera. Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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Experience in Big Data stack(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.) As a Software Development Engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world.
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Required Skills & Experience 3+ years of Data Engineering experience Software development background SQL NoSQL Database experience Python AWS (EMR, RDS, Redshift, Kinesis) Hadoop or Spark Desired Skills & Experience Masters degree or higher in Computer Science or related field.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a candidate with a strong foundation in systems programming and ideally experience with building distributed data systems or databases (e.g. Hadoop, Spark, Dask, Ray, BigQuery, PostgreSQL etc.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Expertise in large-scale data processing tools and frameworks like Hive, Scalding, Spark, Kafka, Hadoop, and MapReduce. We are looking for a Sr. ML Engineer to join our Inclusive AI team, where you will drive cross-team engineering efforts in the Responsible AI / ML Fairness space.
$292,128 a yearFull-timeExpandApply NowActive JobUpdated Today
hadoop job Title: engineer in San Francisco, CA
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