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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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Experience in Big Data data pipeline testing with Hadoop/Spark framework in AWS cloud infrastructure. Job Title: Test Lead/Test Manager - Data Engineering (12+ Years) If you have a passion for leading and managing testing efforts within a Data Engineering Scrum Team, we want to hear from you.
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As a New Vertical leader, you will work closely with our CTO and other leaders on creating 0 to 1 products and finding the next big venture for Duolingo. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice.
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Evaluate data associated with the centralized student service center and prepare analyses and reports to monitor metrics to assess performance and trends. A centralized student service center, The HUB provides support and counsel to enrolled students, families, and the university community specific to the operations of the Student Accounts Office, University Registrar's Office, Student Financial Aid Office, and ID Card Services.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: Familiarity with big data tools like Amazon EMR, Athena, and Glue for processing large datasets. · AWS Services: Strong knowledge of AWS services, especially those related to data, such as S3, RDS, Redshift, Athena, EMR, Sagemaker, and Glue.
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The Academic Coordinator is responsible for providing program and administrative support to the Senior Program Manager and program support to the Directors of the PhD Programs. The Software and Societal Systems Department is seeking an Academic Coordinator for our two PhD Programs in Software Engineering and Societal Computing.
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Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep knowledge of Hadoop ecosystem and Big Data technologies such as Spark, Hive, Hbase, Oozie, Kafka, YARN, SLURM. Familiarity with Metadata Management, Data Quality frameworks and Data as a Service concepts a big plus.
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Leverage common AWS tools such as Amazon EMR for big data processing and AWS S3 for data storage and retrieval. Hands-on experience with AWS services such as S3, Glue, Athena, Redshift, or similar cloud-based data technologies.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Utilize Apache Spark for large-scale data processing and analysis. Utilize common AWS tools such as AWS Glue for data integration and AWS Redshift for data warehousing. Integrate and analyze data from multiple e-commerce channels including websites, mobile apps, and social media platforms to gain holistic insights into customer behavior and preferences.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Big Data technologies like Apache Hadoop, HBase, Spark, Hive, Snowflake. Work with the team and architect to design, prototyping and delivery of software solutions, helping manage the technical environment (software, data, interfaces, integration), researching new tools and technologies, and help with developing better analytics solutions.
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Experience with big data technologies like Apache Spark or Flink. The ideal candidate should have experience in creating and evaluating synthetic data using statistical, deep learning, generative AI, and agent-model techniques.
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Stay current with emerging technologies and best practices in data engineering, big data processing, and cloud computing to continuously improve our data infrastructure. Hands-on experience with big data technologies like Hadoop, Spark, or Kafka.
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One of the big challenges product manufacturers face is to meet the market demand for battery-operated, always-on, always-sensing products without sacrificing sensing capabilities, maintaining reasonable battery-life, and keeping data secure and local.
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Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life.
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big data jobs in Pittsburgh, PA
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