Qualifications
The successful candidate should have 5+ years experience in large-scale software development, with at least 3 years in Enterprise Data Warehousing and Big Data technologies (Hadoop, MongoDB, Map/Reduce, etc.). Have a strong cross-functional technical background, excellent written/oral communication skills, and a willingness and capacity to expand their leadership and technical skills. Ability to interface with multiple diverse stakeholders and an appreciation for working in an Operations environment is required. The candidate should be able to take initiative and work independently; however, collaboration, as part of a uniquely qualified team is required.
• Demonstrate analytical and problem solving skills, particularly those that apply to a "Big Data" environment
• Demonstrate the knowledge to design, develop, implement and maintain an Enterprise Data Warehouse (EDW)
• Deep understanding and related experience with Big Data technologies, Hadoop, MongoDB, NoSql, Map/Reduce
• Deep understanding of schedulers, workload management, availability, scalability and distributed data platforms
• Experience deploying high performance systems to the cloud
• Excellent communication skills, particularly those relating to complex findings and presenting them to ensure audience appeal at various levels of the organization
• Ability to integrate research and best practices into problem avoidance and continuous improvement
• Ability to work in an agile test-driven collaborative and iterative programming environment
• Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results
• Extensive experience building and designing large-scale distributed applications
• Expert knowledge developing and debugging in one or more of the following: Java, Javascript, C#, and C++
• Proven experience in Object Oriented Design and Development
• Sound knowledge of Relational Databases (RDBMS), SQL & No-SQL databases
• Experience with agile/scrum methodologies to iterate quickly on product changes, developing user stories and working through backlogs
• Be customer service oriented
• Be open minded and solution oriented
• Be extremely knowledgeable of industry standards and trends
Responsibilities
Description:
A seasoned engineer, with a blend of knowledge of distributed data platforms, and data analytics skills.
• Be a true partner in defining the solutions, have and develop business acumen and bring technical perspective in furthering the product and business.
• Estimate engineering effort; plan implementation of optimizing prototypes into production code and lead small execution teams
• Deliver clear, well-communicated and complete design documents.
• Develop exemplary and thoroughly tested code for the most challenging aspects of the product or product
sub-systems
• Perform quality assurance on all new code from inception through integration, staging and production environments
• Collaborate effectively with other technology teams and architects to solve complex problems spanning their respective areas
• Ability to work in a team as well as independently and deliver on aggressive goals
Overview
IntelliDyne is a consulting firm that enables better business performance through innovative technology solutions. We manage public sector programs that deliver higher operational efficiency and measurable value to clients. We advise, develop, and execute effective solutions in Cyber Security, Cloud Computing, Application Development and Mobile Computing, Business Process Management, Data Center Consolidation, Enterprise Collaboration and Enterprise Infrastructure Management. IntelliDyne, LLC is an equal opportunity employer
Country: USA, State: Hawaii, City: Kihei, Company: IntelliDyne LLC.
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