• Application Deadline:
• Position: Data Engineer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 3 years


• Location Lagos


• Job Field ICT / Computer 
  

Purpose

• As a Data Engineer, you will be joining our cross-functional data team, and supporting the design, build and testing of high-performance, scalable and multi-event level data solutions.


• You will work with structured, semi structured and unstructured data. You will play a critical role on the strengthen of our analytical presence in the Chat Commerce market.

We Do The Right Things

Responsibilities of the Role

• Design and develop scalable and robust pipelines for data consumption by downstream applications in support of advanced analytics, AI/ML products, and system interoperability.


• Identify opportunities for improvement of existing ETL processes to enhance data integrity and accuracy.


• Work in a scrum-based team that is passionate about enabling a data culture throughout the organization.


• Deliver a high degree of data availability, consistency, and accuracy for our current production systems.


• Actively participate in solution design and modelling to ensure data products are developed according to best practices, standards, and architectural principles.


• Work closely with the data architect, database administrators and BI developers, to redefine our approach to data pipelines and principles of reusability.


• Protect Clickatell's information, intellectual property and corporate data systems in accordance with prescribed guidelines.

We Are On A Learning Journey

Requirements of the Role

• National Diploma, B-Tech or bachelor's degree in engineering, computer science, or informatics.

Work Experience

• 3+ years of production data engineering experience.


• 2+ years of experience working in cloud environments.


• A background working in a high-volume payment transaction environment, or mobile technology platforms and systems integration would be advantageous and be able to demonstrate a sustained track record of delivering high-quality outputs, on-time and to product or business specifications.


• Exposure to Business Intelligence, data warehousing (dimensional modelling) will be advantageous.


• High transactional development environments and Business intelligence experience will be advantageous.


• Experience with data transformation tools such as Talend will be advantageous.

Knowledge and Abilities

• Excellent hands-on experience in working with SQL and NoSQL data sets.


• Experience with data streaming architecture.


• Working knowledge of DevOps principles such as CI/CD.


• Self-disciplined, eager to help, and most importantly a thirst for continual learning.


• Build on our coaching culture, you are someone who will not only be willing, but also passionate about assisting colleagues.


• Formal training business intelligence, data architecture or design would be advantageous.