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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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ETL developer with Elasticsearch/Apache Spark/Scala experience. Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. ETL developer with Elasticsearch/Apache Spark/Scala experience.
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Expertise in Spark/Python/Databricks, Data Lake and SQL. Unit tests for all the Spark, Python data processing and Lambda codes. Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. 3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake.
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Key Skills: AWS, Spark, Adobe Analytics/AEP(Adobe Experience Platform) platform experience, Glue, Lamda, Python, Scala, EMR, Talend, PostgreSQL, Redshift. Configure AEP to get the data set needed and then use spark (AWS glue ) to load data in the data lake.
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The Monitoring, Evaluation, and Learning (MEL) Manager will report to the Program Director and work closely with Program Managers, Regional MEL Specialists, and Partner Liaison Manager in their respective countries to design, analyze, and execute MEL activities, tracking implementation and results while continuing to improve the program's approach.
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Second, to cultivate and amplify a community of value-based care learning. Cultivate & Amplify a Community of VBC Learning. NAACOS is the preeminent organization through which entities engage in value-based care transformation network, engage in peer-to-peer learning, and gain information on best practices to improve performance.
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4+ Experience with Kubernetes, Dask or Apache Spark. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Experience in the use of Microsoft PowerPoint, Adobe Illustrator CS, Captivate, Storyline, Photoshop CS, InDesign, Premiere, Audition, Macromedia Flash, Visual Basic, 3D Studio Max, Learning Management Systems such as Blackboard or Moodle, preferred.
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Experience with distributed data and computing tools, including Spark, Databricks, or AWS EMR. Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before.
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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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Seeking a Mid-level Program Analyst who will provide technical support to the Agency Learning and Evidence Team within the Bureau for Policy, Planning and Learning (PPL), Office of Learning Evaluation and Research (LER.
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learning spark jobs Company: Bain Company in Chevy Chase, MD
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