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Data Engineer (Data Engineering/Data Modeling/Oracle PL/SQL/ QlikView/ PowerBI / Tableau / MicroStrategy)

CodeStak

This is a Full-time position in Davidson County, TN posted March 25, 2020.

Our client is seeking a strong Data Engineer to join their Fixed Income Investment Technology team. Role This role is for a Data Engineer within the Fixed Income Technology team to organize data at both macro and micro level. The central responsibility will be to develop, optimize and oversee Fixed Income Investment conceptual and logical data systems. To succeed in this, you will need to understand the business requirements, examine new data and implement migration models that allow the group to solve for both traditional trading applications to big data applications. The role is within a technology group, but involves engagement with business and understanding of operating environments. Qualifications(Required Skills) 8 years of experience of data engineering related projects Data Modeling Data Management experience, and in complex and global business and technology environments Strong hands on experience with Oracle PLSQL Analytical queries Python and other scripting languages Experience of data visualization tools such as QlikView, PowerBI, Tableau or MicroStrategy Financial Services domain expertise is highly preferred. Knowledge of Fixed Income and Portfolio Management is an added plus Experience using tools such as JIRA and ALM. Bachelor s Degree in Computer Science, Mathematics, andor relevant experience Personal Attributes Team player and ability to address multiple priorities in an extremely fast-paced environment Candidates should have strong analytical and numeric capability, a background in analytics and knowledge of analytical tools data science tools and techniques. Candidate should be a strong communicator and a disciplined worker, who is capable of self-motivation and effective problem-solving The key job responsibilities include Implement effective databasedata virtualization solutions Minor database development tasks will be routine Examine and identify database structural necessities by evaluating client operations, applications, and programming. Assess database implementation procedures to ensure they comply with internal and external regulations. Oversee the migration of data from legacy systems to new solutions. Monitor the system performance by performing regular tests, troubleshooting and integrating new features. Recommend solutions to improve new and existing database systems. Educate staff members through training and individual support. Offer support by responding to system problems in a timely manner. Aid in our data science efforts


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