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S DegreeAt least 6 years of experience in software engineering (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 2 years of people management experience Preferred Qualifications:Master.
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The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
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At Capital One, you’ll be part of a big group of builders, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. Lead innovative identity lifecycle management initiatives and a team of developers with deep experience in Identity and Access Management (IAM) to create solutions that help meet regulatory needs for the company and improve the user-experience for our workforce.
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Demonstrated ability to work experience with OpenSource (NoSQL) products such as Hbase/Accumulo, Big Table, et cetera. Job Description: The Software Engineer (SWE) develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Demonstrated work experience with Cloud: Distributed Scalable Big Data Store (NoSQL) such as CloudBase/Accumulo, Big Table; MapReduce and technologies such as Hadoop, Pig, HDFS; Serialization such as JSON or BSON.
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Knowledge of big data, batch/streaming analytic methodologies and frameworks. Cloud Experience: Shall have three (3) years demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc.
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With a proven 50-year record of winning, the Naval Academy has the largest offshore sailing training fleet for collegiate sailing in the United States, hosting many of intercollegiate sailing's big boat regattas.
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7+ years of relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering.
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Description: The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Architect and implement change-data-capture (CDC) replication for unique disparate datasets of records into Spark ML for deduplication and graph theory entity/identity grouping Architect a scalable, automated enterprise-wide Security Event Management framework—Splunk—to collect and analyze “events.
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Ensures operational readiness at all times maintaining a neat, clean and safe store through team work, store planning, delegation, follow-up, managing initiatives, and staff management and development.
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