Ezra
FinTech
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Ezra. Skills: Data Engineering, ETL, Python, SQL. Develop data processing pipelines. Maintain data processing pipelines”
Industry & Context.
What They're Looking For.
Must Have
2+ years working experience, Working proficiency with Python, Working proficiency with SQL, Advanced working proficiency with any RDBMS, Experience with GIT, Experience with automated testing, Experience with CI/CD, Familiarity with the Linux environment
Nice to Have
Deep understanding of PostgreSQL, Experience with system monitoring, Experience with issue debugging, Experience with system scaling, Experience addressing continuous integration, Knowledge of database administration, Working proficiency in Java, Working proficiency in C/C++, Modelling and data science experience
What You'll Do.
Develop data processing pipelines
Maintain data processing pipelines
Design data science initiatives
Implement data science initiatives
Release data science initiatives
Deliver testable software
Deliver secure software
Deliver readable software
Deliver documented software
Receive data from partners
Validate partner data
Make data available for customer scoring
Make data available for reporting
Make data available for revenue assurance
Make data available for data archiving
How You'll Work.
Team & Collaboration
Local and remote peers; Different teams
Communication Scope
English
Full Job 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, imp
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