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Data Solutions Application Engineer

Charlotte, NC

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Data Solutions Application Engineer
North Carolina
Data Solutions Application Engineer
job details:
location:Charlotte, NC
salary:$44.72 - $50.31 per hour
date posted:Wednesday, June 13, 2018
job type:Contract
industry:Finance and Insurance
job description
Data Solutions Application Engineer
Acts in the highest level technical role as an individual contributor and/or team lead for the most complex computer applications and/or application initiatives. Utilizes a thorough understanding of available technology, tools, and existing designs. Works on the most complex problems where analysis of situations or data requires evaluation of intangible variance factors. Plans, performs, and acts as the escalation point for the most complex platform designs, coding, and testing. Leads most complex multiple modeling, simulations, and analysis efforts. Acts as expert technical resource to programming staff in the program development, testing, and implementation process.: 10 years application development and implementation experience.
This position will provide consulting and oversight to application development for data solutions and usage of tools and capabilities for effective data management. Responsible to provide and drive direction for key technology, best practices, develop common patterns/components and establish repeatable, consistent and reusable solutions across development team(s).Works closely with business and technical leadership, serving as an expert resource for the technology domain, bringing forth opportunities to better the business and influencing decisions regarding technology changes.
Role would require coordination/working extensively with various teams.
Develop new documentation, departmental technical procedures and user guides, allocate and manage resources and manages the work of less experienced staff.
Assures quality, security and compliance requirements are met for supported area and oversee creation of or updates to and testing of the business continuation plan.
5 - 7 years hands-on experience in application/data architecture and solution design
Experience working with complex vendor software, reliable third party technologies/tools.
Identify, research, evaluate (POC), recommend and develop new technology/solution that best serves business needs/values.
Strong experience in documenting solution design documents/catalog of patterns
Leverage various internal and external resources during solution design to ensure solution meets the specified design.
Partner with Development team(s) to review the business requirements and to determine whether an existing solution/partern can be leveraged or need to create new.
Participate in FSD review to ensure compliance with application architecture and Solution Standards/Best Practices
Possess strong knowledge and experience in data management
3 - 5 years hands-on of experience with Exadata/Oracle Database
5 - 7 years hands-on of experience with Ab Initio (AI) ETL development and/or AI administration
3 - 5 years hands-on of experience with Big Data/MapR technology
Hands on experience in SQL and PL/SQL
3-5 years of Extensive experience in Unix shell scripting
Strong and effective interpersonal skills with comfort in delivering presentations to groups
Ability to meet deadlines and adjust to changing priorities to meet business goals
Possess strong conceptual, communications and technical skills, Eager to learn new tools and Technologies with Team first attitude
Working with Onshore/Offshore model
Facilitation skills to Lead discussion that result in consensus and buy-in
SCM(Harvest) / SVN experience
MQ experience, NDM experience
Code build/deployment capabilities, Good Knowledge of Database and Storage replication concepts
ETL tools
Documentation skills to deliver artifacts with clarity and easily understood by Business partners and Technology partners
Project discipline to plan design and development activity
Leadership experience leveraging team members to assist with platform management efforts
Relationship management history with business partners (SMEs, Stakeholders, PMs) and technology teams (Architects, Data Modelers, Data Analysts, Application Developers, QA)
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