As a Software Engineer at Mozn, you will work on problems of national scale and importance. The projects you undertake will often form the foundation for data science functions within client organizations, providing a unique opportunity to build impactful systems that change the lives of millions of citizens.
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Mozn is a rapidly growing and leading data science and product development firm based in Riyadh. The company has a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn serves as a trusted analytics partner for the largest government organizations and many corporations and startups in the region. As the company scales, it is committed to building institutional analytics knowledge within Mozn and across the country in alignment with Vision 2030, during a time of significant social and industrial change.
What You'll Do:
- Contribute to technical discussions to gather requirements and develop product features or solutions while maintaining best practices.
- Research and document proposed solutions.
- Build, maintain, and debug web applications and tooling.
- Write unit and integration tests.
- Develop processes for automating, testing, and deploying your work.
- Collaborate with Project Management, Product Management, and other professionals within your team and across the organization.
Qualifications:
- MSc/BSc in Computer Science or related fields.
- 3+ years of experience in a similar role preferred; professional certifications are a plus.
- Solid understanding and experience with Python and C programming languages.
- Experience with software revision control tools such as Git.
- Ability to explain complex system issues.
- Proficient understanding of distributed computing principles.
- Experience with integration of data from multiple sources.
- Familiarity with NoSQL databases, such as HBase, Cassandra, or MongoDB.
- Ability to work with a large interdisciplinary team to model complex engineering problems within an optimization framework.
Benefits:
Mozn selectively undertakes projects that have a significant impact, earning the trust of users and clients in solving mission-critical problems. The company takes a careful and confident approach to project execution with rapid iterations and invests effort in minimizing operational overhead to empower employees to do their best work. Employees are given significant responsibility and autonomy to achieve the best results for their projects.
