Code/build application solutions from specifications provided by Requirements Analysts (RA) and Data Integration Architect in support of DW and Data Quality projects.
Develop, execute, and document results of unit tests and functional test coverage for assigned coding changes to ensure code quality.
Perform coding and testing in multiple systems and/or processes.
Follow processes and procedures to ensure the quality of technical solutions.
Participate in broader technical reviews used to detect defects in requirements, design, code, test cases, or other project artifacts.
Perform documentation of all code changes.
Support Senior Data Integration Developers in compiling detailed activity task management including recording work effort and providing estimates of time to complete tasks.
Support Senior Data Integration Developers in the design and development of proof of concept and prototype application environments.
Develop and maintain code repositories according to established version management approaches and methods as defined.
Follow code construction fundamentals for coding practices, guideline for use of data, control-related concepts, and error-detection practices.
Assist in identification and evaluation of risks; participate in mitigation and control activities.
Provide on-call support in support of Data Integration processes in production.
Perform production support activities including incident and problem management, code corrections, upgrades, and patches.
Java Specific
Java/Java EE
Hibernate
Spring Framework
Model View Controller (MVC) Framework(s)
Distributed Java technologies like Message-Driven Bean (MDB) and Enterprise JavaBeans (EJB)
Eclipse and Eclipse based tools, such as Rational Software Architect (RSA)
Apache Maven
Hyper Text Markup Language (HTML)
JavaScript
Cascading Style Sheets (CSS)
Minimum Qualification: bachelor’s degree in information technology/MIS, Engineering, or related field and three plus years of programing experience or the equivalent combination of skills, experience, and certification with experience.
Experience with programming languages such as SAS.
Experience with DB2, AIX, vi Editor, and Unix scripting.
Experience with Master Data Management, Predictive Analytics, IBM DataStage, and ETL concepts.
Understanding of system behaviors and functionality.
Experience with Software Development Life Cycle (SDLC) methodologies and tools.
Knowledge of software engineering, design, and testing.
Experience in use of Structured Query Language (SQL)
Experience of with relational and dimensional databases.
May provide 24/7 support as needed
Must be able to perform basic math
Ability to manage multiple assignments while meeting tight timelines.
Ability to solve problem of the most complex technical nature.
Ability to work accurately, efficiently and concentrate for long periods of time in a detailed environment.
Strong written and verbal communication skills.
Ability to mentor others.
Ability to promote and support a consistent, professional, customer focus.
Ability to withstand a moderate amount of stress.
Ability to synthesize and apply disparate pieces of information
