Data Engineer at Kudi


At Kudi, we believe that people of all class should have access to financial services and seamlessly make transactions. We want to build a financial inclusive world with everyone, for everyone.

We are recruiting to fill the position below:

 

Job Title: Data Engineer (Mid-level to Senior-level)

Location: Lekki, Lagos

Job Description

  • Kudi is on a mission of providing financial services to millions of underbanked Africans. Kudi provides over $3 billion in financial services to over 25 million Nigerians each year. With all the data that underpin how these transactions successfully go through,  the Data team is looking for a talented Data  Engineer. 
  • The Data Engineer will be in charge of maintaining our data warehouse;    helping us manage business-critical data leveraged across the entire organization.
  • The Data Engineer will be responsible for building pipelines to move batch and streaming data from our transactional systems (SQL and NoSQL) to the data warehouse.  
  • You’ll be working with a variety of cross-functional teams to help them solve their data needs.
  • Your work will provide teams with visibility into how  Kudi’s products & services are being used and how we can better serve our customers.
  •  If you are data curious, excited about designing data pipelines, and motivated about doing work that has an impact on the business, we want to hear from you. Applicants in  Kenya,  Rwanda & Ghana are encouraged to apply

About the Role

  • Building pipelines to move data from transactional systems to analytical systems.
  • Interfacing with data analysts to help them make sense of data.
  • Documenting data models.
  • Ensuring data pipelines stay up, and fixing any breakages.
  • Transforming data to answer business questions.

About You

  • At least two (2) years of experience.
  • Good understanding of data pipelines (batch and streaming).
  • Foundational knowledge of cloud functions.
  • Good knowledge of DBT, Apache AirFlow/ Google Cloud Composer, and Python.
  • Foundational knowledge of the Google Cloud Platform.

Compensation
$1,500 - $3,000 monthly (Gross)

 

 

How to Apply
Interested and qualified candidates should:
Click here to apply