
Ezra
Data Engineer
Nairobi • Kenya
Closed for applications

Ezra
Business Intelligence Specialist
Nairobi • Kenya
Closed for applications

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Sipranda Capital Limited
Marketing Officer
Nairobi • Kenya
Closed for applicationsOnly on Fuzu
Profession (Finance & FinTech, Mid-level)
Industry (Mid-level)
Aeronautics,Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Communications, media, radio, tv,Computers, software development and services,Construction, renovation, maintenance,Consulting, business support, auditing,Data/Research,Education, academic,Electronics,Energy, utilities, environment,Engineering, architecture,Entertainment, events,Finance & FinTech,Financial Services,Governmental,Health care, medical,Housekeeping, maintenance,Human resources, talent development, recruiting,Legal, accounting,Manufacturing,Marketing, advertising,Non-profit, social work,Outsourcing, leasing,Real estate,Restaurant, hospitality, travel,Retail, wholesale, FMCG,Security,Telecommunications,Transportation, logistics, storage,
Seniority (Finance & FinTech)
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Ezra
Finance & FinTech
Description
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
- 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
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
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