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Cloud Software Engineer 2- TS/SCI w POLY Required - San Antonio, United States - Jacobs
Description
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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.
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
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 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:
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 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.
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.
Primary Location
Primary Location
:
United States-Texas-San Antonio-20362-SAT
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