Data Engineer at Ezra

Nairobi, Nairobi Area, Kenya -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, R, RDBMS, Git, CI/CD, Linux, PostgreSQL, Java, C/C++, ETL Pipelines, Data Modeling, System Monitoring, Database Administration, Automated Testing, Data Science

Industry

Financial Services

Description

Who is Ezra? Company overview: Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE. Our flagship products are Airtime Credit Services (ACS), Nano and BNPL. ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit. Nano is a micro cash advance offered to mobile wallet users on demand. BNPL facilitates payment installments for products and services As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing. Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure. But it doesn’t end there. We’re exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities. Data Engineer Location: Nairobi, Kenya Reports to: Manager - Data Engineering & Architecture About the role: You will be working as part of the data Engineering team on the automated data processing pipelines. Majority of the tasks will be development and maintenance of various ETL pipelines. The purpose of the pipelines is to make the data available for various internal and external consumers. This includes receiving data from our partners, validating it and making it available for the customer scoring process. It also includes all the internal and external reporting, revenue assurance and data archiving. All these processes are essential for the company day to day operations at scale. Key responsibilities: Development and maintenance of data processing pipelines Participate in the design, implementation, and release of data science initiatives Deliver high quality, testable, secure, readable, and documented software Collaborate effectively in English, with local and remote peers across different teams in the organization Assist in the evaluation of new technologies and initiatives Minimal Qualifications and Experience: Working proficiency with Python or any other programming or scripting language Working proficiency with SQL or R Advanced working proficiency with any RDBMS, including deployment and performance optimizations. Experience with GIT, automated testing and CI/CD Familiarity with the Linux environment as a user and developer (Debian is a plus). Minimum 2+ years working experience Ideal Qualifications: Deep understanding of PostgreSQL database system Experience with software development best practices. Experience with system monitoring and issue debugging. Experience with system scaling and addressing continuous integration Knowledge of database administration Working proficiency in Java or C/C++ is a plus Willingness to learn new technologies Modelling and data science experience is a plus Sounds like you? Apply today!

Responsibilities

Develop and maintain automated ETL data processing pipelines to support internal and external consumers. Collaborate on data science initiatives and ensure the delivery of secure, documented, and high-quality software.