Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- Responsible for end-to-end design and development of QlikView-based reporting applications, built from existing data warehouses.
- Performs Unit Testing.
- Publishes applications to a clustered, enterprise QlikView 11 environment.
- Conducts user acceptance testing.
- Provides production support, including working with internal clients to identify issues and to ensure customer satisfaction.
- Creates and documents technical design specifications and test scripts.
- Provides approval for other project documentation.
~ Two or more years' experience developing in QlikView
~ Experience developing in QlikView 11
~ Strong User experience skills
~ Experience with a code change control system (such as MKS Integrity or other)
~ Proficiency in SQL
~ Fast learner with strong analytical and problem solving ability, creativity and insight, strong achievement focus and commitment to deliver results
~ Excellent communications skills with demonstrated clarity in spoken and written words
~ Ability to work well as part of a large team.
~ English upper-intermediate
Preferred Qualifications: (but NOT required)
- QlikView Developer Certification
- Familiarity with QlikView Publisher and QlikView Management Console
- Experience with Oracle, Teradata, and SQL Server
- Experience with banking data
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:
- Data acquisition
- KRI processing
- Data visualization, reporting, dash boarding
- Case Management