Call for Interns: Data Engineering Internship at Indicina

Jun 7, 2023

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Only 11% of Africa’s population have their credit information recorded by private credit bureaus vs 17% in Emerging Asia and 79% in Latin America. This, along with other challenges, puts a major brake on consumer lending in Africa.

Indicina is building the technology infrastructure that will power the next generation of consumer credit platforms and businesses.

We genuinely believe that risk innovation can unlock the massive African consumer credit opportunity.

About the role

We are looking for motivated and talented individuals to join our team. The goal of this internship is to fill gaps in machine learning and better prepare you for a future career in Data Engineering.

As a Data Engineer intern, you will be working closely with a supervisor and other colleagues who will provide you with real hands-on projects and daily tasks.

Job Responsibilities

Collaborate with developers, tech leads and solution architects to build applications.
Improve existing processes by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of the business.
Work with different business and technical teams across the company to establish unified definitions, systems, and data governance for key metrics.
Build scalable backend solutions for automation of data processing;
Develop predictive/segmentation models to understand our customers’ behavior and convert that to actionable that will drive product/marketing/sales key metrics;
Initiate and drive projects to completion with minimal guidance

Qualifications

Bachelor degree in computer science or in related field
Software Engineering experience with proficiency in at least one high-level programming and query language (preferably Python & SQL)
Experience/ Hands-on familiarity with building and optimizing data ETL from one system to another
Experience/ Hands-on familiarity with processing data at scale with Spark clusters
Experience/ Hands-on familiarity with working with Cloud (AWS) services – EMR, Airflow, Glue, Lambdas etc
Experience/ Hands-on familiarity with tuning queries using SQL on Presto engines like Athena or columnar database like AWS Redshift
Experience/ Hands-on familiarity with data modelling
Experience/ Hands-on familiarity using git for version control
Proficiency in Microsoft Office and other office tools such as Slack, jira
Ability to work independently and remotely
Organizational skills and understanding of the data lifecycle
Experience working with a team