Data Engineer / Charlotte / Hybrid

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Data Engineer in Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 12 Months Required Skills & Experience • 7+ years of Data engineering experience • 7+ years of MS SQL server experience • 7+ years of Teradata experience • 7+ years of SDLC (System Development Life Cycle) experience • 5+ years of experience in Teradata database technology and products such as TASM, Unity, Data mover and Query Grid • 5+ years of ETL (Extract, Transform, Load) development experience using Ab Initio • 5+ years of Autosys experience • 5+ years of scripting and automation experience • 4+ years of experience with Enterprise Risk Data What You Will Be Doing • Provide technology design, develop and support Risk and Regulatory platform capabilities, functions and processes. • Understand business requirements with respects to data and reporting needs. • Analyze source data and perform data gap analysis, source to target mappings, and data integration design. • Design and implement highly distributed, scalable processes - Data Enrichments using Ab Initio, SQL, Strong data enrichment & delivery techniques using various technology stack: Jenkins, Artifactory, Git, Autosys, DTS, NDM, and PCF. • Evaluate solutions, review system architecture, design and tools to achieve project objectives including usability, performance, reliability, and monitoring, control, and security requirements. • Assist all technology partners/developers to use the agreed technology/tools and interfaces to ensure smooth integration, security & reliability across DEV, SIT, UAT and Production. • Performance tuning and designing of high-performance applications involving huge data processing. Posted By: Rachel LeClair