- TD Bank (Mount Laurel, NJ)
- …(Oracle), familiarity with Unix/Linux environments and shell scripting + Exposure to big data and analytics platforms on Hadoop or on data lake platforms ... Description:** We are seeking a highly skilled and experienced Lead Software Engineer to lead the design, development, and implementation of solutions within the… more
- LinkedIn (San Francisco, CA)
- …Previous experience leading cross-functional partnerships involving analytics + Previous experience with big data technologies (like Hadoop ) + Previous ... business, you will leverage one of the richest proprietary data sets in the world. You will work with...of building a strong rapport with entry-level salesperson or engineer one moment and give a clear 30-second elevator… more
- Amazon (Bellevue, WA)
- …ML to solve complex problems for large scale applications - Experience with big data technologies such as AWS, Hadoop , Spark, Pig, Hive etc. Amazon is an ... for leading a cross functional team of scientists and engineer and developing and maintaining the systems and tools...applications experience - 5+ years of hands-on work in big data , machine learning and predictive modeling… more
- Amazon (New York, NY)
- …architecture, performance tuning, big data processing, mobile app development, or Big Data / Hadoop . Domestic and/or international travel up to 25% to ... of experience in the job offered, or as a Database Administrator, Support Engineer , or a related occupation. Employer will accept Bachelor's degree or foreign… more
- Amazon (Irvine, CA)
- …Python, or Java; (3) experience with database architecture, performance tuning, and either Big Data or Hadoop .#0000 Preferred Qualifications Please see job ... in the job offered or related occupations of Database Administrator, Support Engineer , Systems Engineer or another related occupation. Employer will accept… more
- McAfee, Inc. (San Jose, CA)
- …or PowerShell. + Experience in working with SQL, no-SQL and big data frameworks, MS-SQL, Casandra, MongoDB, Apache spark, Hadoop etc., middleware like Kafka, ... improve availability, stability, and resiliency of cloud infrastructure. + Collaborate with data science teams to integrate ML pipelines into DevOps workflows for… more
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