Cloud Software Engineer 2- Ts/Sci W Poly Required

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) 

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• 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.  
  • A degree in Mathematics, Information Systems, Engineering, or a similar degree will be considered as a technical field.  
• Hadoop/Cloud Developer Certification 
• At least five (5) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing and problem diagnosis/resolution. 
• At least four (4) years of experience developing software with high level languages such as Java, C, C  
• At least three (3) 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. 

Demonstrated work experience with the following: 

• OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc 
• Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc. 
• Hadoop Distributed File System (HDFS) 
• Serialization such as JSON and/or BSON 
• Developing RESTful services. 
• Developing solutions integrating and extending FOSS/COTS products 
• Technical writing skills and have generated technical documents in support of a software development project. 

Preferred:  

• Experience deploying applications in a cloud environment. 
• Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook) 
• Experience designing and developing automated analytic software, techniques, and algorithms. 
• Experience with taxonomy construction for analytic disciplines, knowledge areas and skills. 
• Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines. 
• 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.