Data Engineer

at  Interswitch

Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organisations on a timely and consistent basis. We started operations in 2002 as a transaction switching and electronic payments processing, and have progressively evolved into an integrated payment services company, building and managing payment infrastructure as well as delivering innovative payment products and transactional services throughout the African continent. At Interswitch, we offer unique career opportunities for individuals capable of playing key roles and adding value in an innovative and fun environment.
We are recruiting to fill the position below:

EDUCATIONAL REQUIREMENTS

• Bachelor’s Degree in Computer Science / Computer Engineering, or a related field.

Experience Requirement:

• Minimum of 6 years in a data engineering.

JOB PURPOSE

• To design software engineering processes within the Data Platform engineering team and ensure the seamless deployment, monitoring, and optimization of applications under the purview of Data platform engineering.

JOB RESPONSIBILITIES

• Connect with subject matter experts (SMEs) to identify problem areas.
• Collaborate with cross-functional teams to design and implement solutions that align with organizational business objectives.
• Develop architectural blueprints and technical specifications.
• Ensuring data from different sources is integrated and accessible for analysis
• Designing, implementing, and maintaining databases and large-scale processing systems.
• Keep up to date with the latest developments in spring boot, Java and related technologies.
• Design and test technical architecture.
• Propose data solutions to tackle business challenges
• Creating and managing data pipelines that move data from various sources to storage systems and data warehouses.
• Responsible for bug fixes and improvements
• Improving the performance of data systems to handle large volumes of data efficiently.