Curious about the Heights FinTech can reach? We are Looking for You!
At D2K Technologies we continue to push the boundary of what technology can help accomplish in Banking and Finance.
We invite you to join our team of passionate individuals with experience in addressing Banking clients complex business problems and regulatory challenges for new financial technologies and help develop and deliver products that drive value.
Data Scientist
Experience in data mining
Understanding of machine learning and operations research
Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++
Analytical mind and business acumen
Web and Mobile Developers
Demonstrable portfolio of live websites and/or apps
In-depth knowledge of at least one programming language
Experience with third-party App libraries and APIs
Familiarity with OOP design principles
Database Developer
Knowledge of software development and user interface web applications
Hands-on experience with SQL
Familiarity working with Net Framework, JavaScript, HTML, and Oracle
Good analytical and organizational skills
Reports and ETL Developer
Outline the ETL process, setting borders of data processing
Document system requirements manage development timelines
Take part in the actual development/implementation of ETL tools
Conduct testing of tools and data pipelines
Business Analysts and Bankers
Good analytical and conceptual thinking skills
The ability to work closely with stakeholders and guide technology teams
Working knowledge of documentation for Banking technologies and Analytics
Fundamental analytical and conceptual thinking skills
Software Quality Assurance
Professional certification, such as Six Sigma, Quality Engineer, or Quality Auditor
Knowledge of quality assurance terminology, methods, and tools
Analytical, problem-solving, and decision-making skills
Demonstrable knowledge of testing best practices, version control practices, and defect management practice
Any reference will be highly appreciated
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full time