Candidate must have TS SCI with Full Scope Polygraph

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 BSON

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. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

SWE L2: Cloud-Based Map Reduce Analytics Developer

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 data.

-Developing 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 applications.

-Applying 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...)

CCAs not accepted.

Location: Client Site

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