Python Java NoSQL Databases JSON .NET Experience Proven Experience Engineer (Jobs   Requirement id 100692 Job title Engineer Job location in Des Moines, IA Skills required SQL Experience, Python, Java, NoSQL Databases JSON .NET Experience Pro Open Date 26-Nov-2019 Close Date Job type Contract Duration 5 Months Compensation DOE Status requirement not found Job interview type ---    Email Recruiter: coolsoft Job Description Engineer: SQL Experience, Python, Java, NoSQL Databases JSON .NET Experience Pro Candidate must be our W2 Employee We should submit only GC,GC - EAD, L2-EAD,H4-EAD and Citizens Description: Qualifications: Bachelors degree plus 6 - 10 years related work experience or a Masters in related field plus 2- 8 years related work experience. Proven experience as an IT professional. Solid leadership and presentation skills required. Knowledge of financial services products, processes and business unit applications preferred. Ability to work directly with data and data stores through programming language such as SQL, Python, Java, etc. Experience with a variety of data modeling techniques and data structures. Ability to optimize data for analytics and data science. Experience building/operating systems for data extraction, ingestion and processing of large data sets. Knowledge and direct experience using business intelligence reporting tools. Experience building data products incrementally and integrating and managing datasets from multiple sources. Advanced planning, organizational, problem-solving, analytical, decision making and communication skills required. Ability to collaborate with others required. Must be able to effectively communicate strategies and designs to all levels of the company. Must be able to maintain a high degree of accuracy and confidentiality. May be required to provide on call support. These same requirements may also apply to other positions across the organization. Responsibilities: Provide data engineering and analysis expertise to maximize effectiveness across multiple technologies. Set standards and oversee technical aspects of data management functions including creating, collecting, loading, transforming, cleansing, processing, storing, analyzing, and visualizing data. Work directly or in support of data science/analytics to design, develop, test and integrate data from various sources into large-scale processing systems and databases to use in providing insights that solve business needs. Recommend ways to improve data reliability, efficiency, and quality. Understand the trade offs between technical, analytical and product needs and lead to solutions that take all of the needs into account. Develop strategies for data acquisition and influence others within the business area through explanation of policies, patterns and practices. Facilitate strategic discussions and execute tactical plans.   Call 502-379-4456 Ext 100 for more details. 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