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Familiarity with Big Data technology like Apache Hadoop, NoSQL, Presto, BigQuery, BigTable, etc. Familiarity with Big Data technology like Apache Hadoop, NoSQL, Presto, BigQuery, BigTable, etc.
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Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. Experience with CNN training and deep learning frameworks such as PyTorch, Tensorflow, Keras or similar. Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc.
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Understanding of data storage solutions, compute engines, and data processing frameworks (e.g., Hadoop, Spark, Flink). Experience with cloud data services like AWS (Redshift, EMR), Azure (Synapse, Databricks), and Google Cloud (BigQuery, Dataflow.
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7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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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. Knowledge of distributed computing technologies such as Apache Spark, Hadoop, or Dask, and experience with containerization and orchestration technologies such as Docker and Kubernetes.
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Experience in developing data-intensive applications (Apache Spark, Hadoop, Hive). Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart. Experience in developing data-intensive applications (Apache Spark, Hadoop, Hive.
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Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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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.
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Proficiency with Spark, Hadoop, Kafka, Hive, and SQL. Experience with R, Python data analysis libraries (pandas, sklearn, numpy, scipy, and matplotlib), and Spark MLlib. 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.
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In Linux/Unix, and R.Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software. Prior experience in real world evidence, health economics, or outcomes research, in the medical device/pharma/CRO industry is preferred.
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Prior experience in building solutions with Hadoop, Spark, Cloud Platforms (AWS, Azure, et al). StreamSets is a Gartner Cool Vendor in Data Management and a Fortune Great Place to Work. StreamSets has backing from premier Silicon Valley VCs, founders that have a deep understanding of the market, and an elite engineering team that has delivered an award-winning, disruptive technology built from the ground up for the modern multi-cloud, big-data world.
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Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc.
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Experience in using Hadoop / HIVE / Pig. Experience with Tableau, Spotfire, Qlikview, D3, R, SPSS, SAS. 3+ years of Natural Language Processing and Text Mining experience, using at least one or more of the following: GATE, NLTK, Stanford NLP, and/or OpenNLP.
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Expertise with SQL databases such as Presto, Vertica, Redshift, or Hadoop. Expertise with SQL databases such as Presto, Vertica, Redshift, or Hadoop. Proficiency in data visualization and report creation using tools like Tableau, Excel, or Google Sheets.
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hadoop job Company: Panalgo in San Francisco, CA
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