Luxoft is an emerging global leader in high-end software application development.
Luxoft is a global IT outsourcing and software development company with 7000 employees across 19 locations. It was recently recognized as Leading Central and Eastern European Service Provider in the 2010 Global Services 100 list. Luxoft is famous for flexible delivery models, world's best IT talent pool, low attrition rates, best-of-breed processes and highest security and quality standards.
Luxoft is trusted long-term partner for world class leaders such as Avaya, Boeing, Dell, Deutsche Bank, IBM.
Currently we are looking for
Currently we are looking for
VR-7959
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SAS Data Integration Developer
Miejsce pracy: London
Nr Ref.: VR-7959
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Luxoft - Leading Central and Eastern European IT Service Provider. Learn more about Luxoft at www.luxoft.com
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Responsibilities:
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Creating Metadata for Source and Target Data Creating Metadata for Target Data and Jobs Working with Transformations Working with Tables and the Table Loader Transformation Working with Slowly Changing Dimensions Defining Generated Transformations Deploying Jobs |
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Requirements:
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The most competitive candidates will have a Master's degree in Informatics, Computer Science, Computer Information Systems, or Epidemiology, and have work experience conducting data integration. In addition, the candidate should have the following: Experience with database design and maintenance. Experience working with HL7 data. Experience managing relational databases. Experience developing technical specifications and working with IT groups to oversee product development. Experience developing or using implementation guides. Familiarity with the process of data onboarding. Knowledge of data mapping. Proficiency in SAS, including writing SQL and macros, and using the Output Delivery System (ODS). Experience developing data quality assurance procedures. Demonstrated ability to establish and maintain good working relationships. Technical and analytical problem solving skills. Demonstrated ability to communicate effectively, both orally and in writing. Ability to work collaboratively and conduct projects within timelines. Experience working with clinical data; knowledge of Hepatitis C is desirable. |
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Apart from what
everyone else offers, we offer: |
The aim of this project is to build an efficient CCA (Cancel Correct Amend Fraud Detection) platform for Top Level management in leading Investment bank. CCA belongs to a class of IT verticals called Fraud Detection (Data Mining). Data mining projects are viewed under the umbrella of Cross Industry Standard Process and have 6 major phases: business understanding, data understanding, data preparation, modeling, evaluation and deployment. Using SAS in project for:
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