Junior Data Engineer

As a Backend Spark developer, your mission will be to develop, test and deploy the technical and functional specifications from the Solution Designers / Business Architects / Business Analysts, guaranteeing the correct operability and the compliance with the internal quality levels.

We need somebody like you to help us in different fronts:

• You will develop end-to-end ETL processes with Spark/Scala. This includes transferring data from/to the data lake, technical validations, business logic, etc.
• You will use Scrum methodology, and be part of a high performance team
• You will document your solutions in the tools: JIRA, Confluence, ALM
• You will certify your delivery and its integration with other components, designing and performing the relevant test to ensure the quality of your team delivery
• You will work side by side with a technical specialist who will help you to improve the architecture and technical implementation of the solution in place
• You will collaborate with cross-functional and cross-country teams to integrate data from various sources
• You will develop and maintain data hub and data pipelines in microservices architecture
• You will collaborate with other developers to maintain and improve CI/CD pipelines

WHAT WE ARE LOOKING FOR

• Bachelor's degree in Computer Science or a related field.
• 1+ years of experience in data/software engineering (preferable in banking)
• Experience with Integration Solutions (using API and Microservices)
• Programming backend applications with BigData technologies(Apache Spark)
• Agile approach for software development
• Continuous Integration (Git, GitHub)
• Knowledge of SQL databases
• English (at least B2+)