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Ab Initio Data Integration (ETL) Engineer
Location:
US-VA-Reston
Jobcode:
3596547
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In support of the CCTI Support project, the Ab Initio Data Integration Engineer role will have the following responsibilities:. 1. Provide day-to-day maintenance and development support for the Client's Operations Centera^TMs ETL processes for the delivery of statistical claims data to the Care Coordination Technical Infrastructure (CCTI) data warehouse environment 2. Evaluate ETL processes to generate and maintain corresponding system documentation 3. Assist with troubleshooting of system and application performance related issues and recommend fixes. Skills: 1. 5+ years of experience of hands-on work designing and implementing data integration solutions for data warehouse and business intelligence systems 2. 5+ years using, configuring, and tuning industry leading ETL software tools in data intensive, large scale environments. 3. 5+ years hands-on design, development and support experience with Ab Initio using GDE, Co> Operating System and EME. Experience in any of the following is desired: Query> It, Conduct> It, Express> It, Continuous flows, Metadata Hub. 4. 3+ years hands-on experience working in Unix/Linux environment, with proficiency in Unix shell scripting (Korn, Bourne, Awk, Sed, etc 5. 3+ years hands-on experience with scheduling tools, preferably, Control-M 6. Strong SQL. 7. Strong ability to effectively communicate (oral presentation) concrete concepts to a variety of stakeholders across business and information technology organizations in a formal and informal manner. 8. Strong writing skills including attention to metadata and definitional detail as well as ability to visually depict concepts to technical and non-technical audiences. 9. Proven ability to work close with others, to work through design challenges, to solve problems, and to mentor and guide. 10. Proven ability to work both independently and in groups as a self-motivated and highly engaged contributor. 11. 1+ years of experience working with Health Insurance (Payer) organizations or a highly related field including knowledge of HL7 and / or related Claims, Enrollment, and Benefits Administration industry data models / taxonomies is preferred (not required

Lumen Solutions Group, Inc.

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