Rubyx recruits 01 Data Engineer
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.