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Your Impact:

• This position is within the DATAWAVE product development team.

• The candidate will have a primary focus on supporting all aspects of agile software design and development for the DataWave product that is integrated into Data Warehouse Platform systems on large scale compute clusters. Duties include development of new capabilities, testing, optimization and performance tuning, operation, and sustainment functions.

Responsibilities:

• As a DataWave Cloud Software Engineer, you are expected to perform requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution at a high level of proficiency and independence.

• You are expected to communicate directions and provide guidance to more junior programmer/analysts, as required.

• DataWave Cloud Software Engineers must be adept at developing solutions with integrated or extended COTS or GOTS products.

• Additionally, Software Engineers may be responsible for evaluating project needs, determining tasks and durations, and generating and reviewing designs for technical accuracy, completeness.

Core Competencies and Skills:

• Willingness to be a committer/contributor to open source applications.

• Java programming for distributed systems, with experience in networking and multi-threading.

• Apache Hadoop

• Apache Accumulo

• Apache NiFi

• Agile development experience

• Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.g. Python, Ruby, Perl, etc.)

• Experience with source code management practices and tools

• Enabling tools: Git, Maven, Jira

• Continuous Integration/Continuous Testing: Bamboo, Jenkins, GitLab, CI/Pipelines

• Continuous Monitoring: ELK Stack (ElasticSearch, Logstash and Kibana), Nagios

• Familiarity with microservices software development technique and container-orchestration (e.g. Kubernetes)

Here’s What You’ll Need:

• Demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc.

• Demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.

• Demonstrated work experience with the Hadoop Distributed File System (HDFS)

• Demonstrated work experience with serialization such as JSON and/or BSON.

• Demonstrated work experience developing RESTful services.

• Demonstrated work experience in the requirements analysis and design of at least one Object Oriented system.

• Demonstrated work experience developing solutions integrating and extending FOSS/COTS products.

• Demonstrated technical writing skills and have generated technical documents in support of a software development project.

• In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics: deploying applications in a cloud environment; developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.

Preferred:

• Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)

• Experience designing and developing automated analytic software, techniques, and algorithms.

• Experience developing and deploying: analytics that include foreign language processing; analytic processes that incorporate/integrate multi-media technologies, including speech, text, image and video exploitation; analytics that function on massive data sets, for example, more than a billion rows or larger than 10 Petabytes; analytics that employ semantic relationships (i.e., inference engines) between structured and unstructured data sets; analytics that identify latent patterns between elements of massive data sets, for example more than a billion rows or larger than 10 Petabytes; analytics that employ techniques commonly associated with Artificial Intelligence, for example genetic algorithms.

• Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.

• Experience with linguistics (grammar, morphology, concepts).

• Experience developing and deploying analytics that discover and exploit social networks.

• Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.

• Experience developing and deploying analytics within a heterogeneous schema environment.

Here’s what you’ll need :

Minimum Education:

• Bachelor’s degree in Computer Science or in a related technical field is highly desired which will be considered equivalent to two (2) years of experience. A Master’s degree in a Technical Field will be considered equivalent to four (4) years of experience.

• NOTE: A degree in Mathematics, Information Systems, Engineering, or a similar degree will be considered as a technical field.

• Hadoop /Cloud Developer Certification or comparable Cloud System/Service Certification

Minimum Years of Experience:

• At least eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing and problem diagnosis/resolution.

• At least six (6) years of experience developing software with high level languages such as Java, C, C

• At least five (5) years of experience developing software for UNIX/Linux (Redhat version 3-5) operating systems.

• At least three (3) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts.

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.