Do you have what it takes to join Channel VAS, the global FinTech leader? We have become the world's #1 in mobile micro-credits thanks to sophisticated profiling and scoring models that are based on telco, digital and behavioral data.
We are seeking sharp, talented individuals to join our team of highly skilled professionals in our Operations Center in Greece and other countries.
Through 40 telco partners we are providing financial inclusion to over 600 million consumers in Africa, Middle East, Asian Pacific and Latin America via a variety of mobile financial services such as Airtime Credit, Mobile Money Loans, Mobile Device Finance, B2C Loan Apps, E-Commerce Credit Solutions and Marketplaces.
The next growth is expected to come from geographic, industry and product diversification. Become part of a team of 200 creative individuals who believe in redefining mobile micro finance!
Big Data Engineers are significant contributors of Channel VAS' data driven automated decision making. They have extensive experience with data ingestion, engineering applications on top of large-scale data infrastructures, as well as testing patterns and adopting new technologies.
Big Data Engineers have the capability to architect and develop highly scalable end-to-end data flows, and operationalize high-performance algorithms.
Architect and develop on-line (real time) and batch data analytics methods and algorithms.
Assure and maintain the fast and efficient provision of data in the infrastructure to product platforms, reporting and analysis tools, and data scientists / analysts.
Acquire and integrate large volumes of data (Extract, Transfer and Load).
Architect disparate sources of data.
Maintain the quality, availability, and security of data and seek to improve collection, usage and presentation of data across the organization.
Data integration, administration and optimization of performance associated with Big Data processing.
Bachelor's degree from an accredited institution in Computer Science or Informatics
At least 3 years of experience in back end platforms development with solid programming abilities in Java and / or Python
Knowledge of Relational and Non-Relational Database technology
Strong analytical skills, evidence of systems design
Hands-on experience at : SparkHadoop; especially MapRNoSQL columnar and document databasesPython
Experience in programming Big Data applications in Java or Python
Working knowledge of SPARK
MSc or PhD from an accredited institution in Informatics or Computer Science.
Experience on mathematical modelling, algorithms development, and machine learning.
Passion for learning new technologies and eagerness to collaborate with other creative minds
Strong desire for exploring, evaluating and understanding new technologies
Ability to hit tight deadlines and work under pressure and strict attention to detail
Strong communication skills
Excellent judgment, organizational and problem-solving skills
Challenging work environment
Comprehensive private healthcare insurance
Company phone and laptop