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Data Engineer
About Rubyx
Hello, we're an international team with expertise in microfinance, data science, behavioural economics and human-centred design. We started Rubyx in 2019 to revolutionise the way informal entrepreneurs and small businesses fund their activities.
We've built a cloud-native, API-driven digital lending platform that enables service providers to rapidly launch innovative loan products that meet the needs and expectations of borrowers. Rubyx lowers the cost of entry to AI capabilities and makes credit scoring algorithms easy to understand so that the power of data benefits all.
Pioneering new lending ecosystem models, we support different types of partnerships:
- We enable non-lenders such as digital platforms to easily embed lending features into their services to deliver more value to their customers.
- We work with banks and microfinance institutions to help them accelerate their digital transformation and reach new markets.
Currently, we operate in the following countries: Cambodia, Cameroon, Nigeria, Ivory Coast, Ghana, Tunisia, Jordan, Georgia, India and Madagascar.
We're passionate about the many opportunities to rethink microfinance together, but we're not just painting pretty pictures; we draw our inspiration from many years of experience in microfinance and spending days and days in the field to observe the ways informal entrepreneurs and small businesses work.
Working with us
We each work with a high degree of autonomy and take responsibility for our tasks. Using tools like Slack and Trello, we stay focused on the most important activities. Joining us brings the benefit of being able to shape and build your own practice in a start-up environment.
We work remotely and get things done. Our team is spread out from Canada to China, sometimes you'll have to put an effort to schedule meetings that work for everyone. Mostly, for you this means flexible working hours.
We believe work should be fairly rewarded. We offer competitive compensation based on your experience and expertise.
Job description
We are looking for a data engineer to strengthen our technical team and take our data unit to the next level.
Responsibilities
- Work with product teams, users, and other stakeholders to identify opportunities for data-driven solutions.
- Translate clients' business needs into technical requirements and perform the data processing necessary to meet those needs
- Participate in designing the architecture of solutions based on GCP infrastructure
- Designing and implementing data integration, data quality and data conversion processes.
- Design and build data pipelines to support data science projects following software engineering best practices
- Have the opportunity to contribute to R&D and internal asset development projects
- Document solutions, configuration, and program modifications according to internal standards.
Requirements
Professional Skills
- 2+ years of experience in a data engineering (or similar) role
- Expertise with database, data warehouse and data pipeline technologies
- Experience with cloud infrastructure (GCP preferred) and SaaS environments.
- Experience with data quality best practices
- A successful history of manipulating, processing and extracting value from large datasets
- Experience preparing data for analytics and following a data science workflow
- Experience in languages commonly used for data analysis such as SQL, Python and R.
- Ability to start with a messy unstructured problem, identify specific research questions from it, and propose data and model-driven solutions that would create value for end-users and other stakeholders.
- Dedication to high quality, maintainable code.
- Good verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
Personal Skills
- Fluent in English, French is a plus.
- Open-minded and able to work with people from different backgrounds and cultures.
- Cultivate the start-up spirit and look for innovation and excellence.
- Demonstrated ability to work independently and as part of a team in a distributed working environment.
- Ability to learn and adapt quickly in fast-changing environments.
