Do you have what it takes to join Channel VAS, the global Fin Tech leader?
Channel VAS lends more than $4.5 million USD to over 550 million people in 25 countries worldwide - and these numbers keep growing every day! We employ only the best to join our team of highly skilled professionals in our Operations Center in Greece and other countries.
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. They have the capability to architect and develop highly scalable end-
to-end data flows, and operationalize high-performance algorithms. Big Data Engineers work closely alongside the engineering and data analytics teams.
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.
Required Experience & Qualifications :
Bachelor’s degree from an accredited institution in Computer Science or Informatics.
At least 3 years experience in back end platforms development with solid programming abilities in Java, JEE.
Knowledge of Relational and Non-Relational Database technology.
Strong analytical skills, evidence of systems design.
Hands-on experience at : Spark, Scala, Hadoop; especially MapR and NoSQL columnar and document databases.
Key competencies :
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.
Excellent judgment, organizational and problem-solving skills.
Strong communication skills.
Experience in programming Big Data applications in Java and Scala.
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.
Challenging work environment
Comprehensive private healthcare insurance
Company phone and laptop
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