Vibrint

-Utilizing JavaScript/TypeScript to enhance front-end components of the analytics expertise in tools like Maven, Git, JIRA, and Linux to ensure efficient development and version control processes.. -Knowledge of big data, batch/streaming analytic methodologies, and MapReduce or Portable MapReduce frameworks.. Nice to Have Skills:Experience with Lucene based open-source search tools like Solr or ElasticSearchExperience with backend javascript/typescript technologies (Node.js, Express.. ; Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.. ; Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS); Shall have demonstrated work experience with Serialization such as JSON and/or BSONUpon request the salary range for this job will be made available.

analytics developer

<p>Vibrint is a trusted provider of mission-critical systems and analysis that transform our customers' capacity and capability in harvesting and harnessing data. Working alongside many of the most talented professionals in public service, we work tirelessly to create and sustain new solutions and services that meet the stringent demands across a variety of customer missions.Our people know they'll be doing work that matters at the heart of the national security mission, exploring new possibilities at the cutting edge of technology. They know they will be well-rewarded and recognized for their commitment. And, they know they will enjoy plentiful opportunities to grow, thrive, and have fun as a member of the Vibrint family. Join Vibrint, where your career is a priority, and your future is our shared goal.We are seeking a Cloud-Based Map Reduce Analytics Developer Software Engineer.Position requires an active TS/SCI with Polygraph level clearance. US citizenship is required.Position Required Skills:We are seeking a talented and motivated Cloud-Based Map Reduce Analytics Developer to join our team. As part of our organization, you will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. Additionally, the team is charged with re-designing, implementing, deploying, and maintaining multiple full-scoped distributed CNO systems. The ideal candidate will be comfortable with backend and frontend development as well as being a team player who can be a self-starter that can quickly learn new technologies. This is an excellent opportunity for someone experienced in Java development, analytics writing, and a passion for big data and distributed computing.Responsibilities:-Designing, developing, and implementing scalable cloud-based map reduce analytics solutions.-Writing efficient and optimized code in Java to handle large volumes of  RESTful APIs to integrate the analytics solutions with other systems.-Collaborating with cross-functional teams to gather requirements and design robust analytics solutions.-Utilizing JavaScript/TypeScript to enhance front-end components of the analytics  expertise in tools like Maven, Git, JIRA, and Linux to ensure efficient development and version control processes.-Utilizing knowledge of big data, batch/streaming analytic methodologies, and MapReduce or Portable MapReduce frameworks to optimize performance and scalability.-Demonstrating a willingness to learn and adapt to additional technologies as required.Requirements:-Proven experience developing with Java and writing analytics.-Strong experience in developing RESTful APIs.-Familiarity with Maven, Git, JIRA, and Linux.-Knowledge of big data, batch/streaming analytic methodologies, and MapReduce or Portable MapReduce frameworks.-Willingness to learn and adapt to additional technologies as required.Nice to Have Skills:Experience with Lucene based open-source search tools like Solr or ElasticSearchExperience with backend javascript/typescript technologies (Node.js, Express.js, Nest.js, etc...)Experience in frontend web development and high level javascript frameworks (Angular, React, etc...)Qualifications:Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.Discretionary Requirements-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.; Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.; Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS); Shall have demonstrated work experience with Serialization such as JSON and/or BSONUpon request the salary range for this job will be made available. Please email your request for information along with the job listing to  qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, citizenship, family structure, marital status, disability, veteran or military status or any other characteristic protected by law in all phases of the employment process and in compliance with applicable federal, state, and local laws and  equal opportunity employer/disability/vet. .Equal opportunity legal notices can be viewed on the following PDFs: and .We are offering a sign-on bonus!</p>

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