We are building an ecosystem that simplifies how businesses accept payments, make payments and manage operations. This journey started in 2016 with simplifying access to financial services using "Kudi.ai" a chatbot integration that responds to financial requests on social apps.
It then morphed into powering a community of independent businesses we call Agents who act as neighborhood banks offering basic financial services such as cash withdrawal, transfer and bill payments to all Nigerians, especially those in underserved communities.We believe this technology and innovative solution can power all kinds of businesses whether they are accepting payments for goods and services or helping others access cash or send money. So, we created easy-to-use tools with flexible options for all kinds of businesses to accept, process and manage payments online and offline. As we stay true to our mission to make financial services accessible and affordable, we are one step closer to bringing a lasting change to Africa and Africa's commerce.
At Nomba, we mean business.
- We are looking for a smart and driven Data Engineer to join our data team. You’ll help build and maintain data pipelines, work closely with analysts, and ensure our data is reliable, well-structured, and ready for reporting and decision-making.
- The ideal candidate is someone who enjoys solving technical problems, working with data at scale, and wants to shape how data is delivered across the company.
- Monitor and optimize data pipelines on Airflow, ensuring reliability, freshness, and timely delivery.
- Design and implement analytics and BI-ready data models in dbt for reporting and business use cases.
- Collaborate with cross-functional teams to deliver data solutions.
Requirements
- Experience with streaming data pipelines.
- Strong knowledge of data orchestration tools (preferably Apache Airflow)
- Experience working with both NoSQL (MongoDB) and SQL (PostgreSQL) sources.
- Hands-on experience with transformation frameworks (preferably dbt).
- Solid understanding of change data capture (CDC) techniques and incremental data processing.
- Good understanding of dimensional modeling principles.
- Familiarity with CI/CD and version control.
- Strong SQL and Python skills.
Method of Application
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