As a Data Engineer, you will interact with the engineering team to solve problems and build, extend, optimize and refactor the back-end architecture of our growing products. This will involve working on our existing codebase along with new projects. Airtel Africa Digital Labs (AADL) has a highly passionate engineering-driven environment where your contribution will be felt immediately. All teams at AADL are involved in every part of our development life cycle.

Responsibilities


Efficient, scalable, and high-quality data architecture: Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Continuous availability of clean, accurate, and up-to-date data: Acquire data from primary or secondary data sources and maintain databases/data systems
Actionable insights that inform strategic business decisions: Identify, analyze, and interpret trends or patterns in complex data sets
Increased stakeholder satisfaction with analytics outputs: Work with management to prioritize business and information needs
Seamless integration of data solutions with infrastructure and systems: Coordinate with Infrastructure Team, System Engineering & DBA groups.
Reduced operational overhead and improved service delivery: Understand the capabilities of platform and ensure effective delivery/operations engagement


Educational Qualifications:


A Bachelor’s degree in ICT, Computer Science, Electronics Engineering, or related field from a recognized university
5+ years’ experience 
Demonstrable knowledge of relational database i.e. Oracle, Sql, MySQL
Scripting language – Shell or Python 
A good understating on Payment Banks and the architecture


Relevant Experience:


Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages, databases, programming frameworks.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy


Other requirements: 


Out of many tools and technologies, we use Java, MongoDb, Cassandra, Redis, Twem, Netty extensively for our back-end development; knowledge of these tools will be an added advantage.
  • Data
  • Business Analysis and AI