Junior Software Engineer

Summary

Join Rimes, a leading provider of enterprise data management solutions, as a motivated and detail-oriented Software Engineer on our Platform Team. You will focus on optimizing data pipelines, enhancing performance and efficiency, and ensuring high standards of reliability and cost-effectiveness. Collaborate with engineering teams to improve data architecture and infrastructure, monitor system performance, and implement automated testing practices. Provide technical support and maintain comprehensive documentation. This role requires a Bachelor's degree in a related field and 4+ years of experience. We offer growth opportunities, mentorship, flexible remote work, competitive compensation, and a supportive culture.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field and 4+ years of experience in similar role
• Proficiency in Python and familiarity with other programming languages such as Perl , C and C#
• Understanding of data engineering concepts (ETL, data flow, data orchestration) in multi-tenant architecture, as well as message based architecture (RabbitMq, Apache Kafka)
• Strong analytical skills with the ability to derive insights from performance data
• Ability to work effectively in a team environment and collaborate with senior engineers and product teams
• Good communication skills, both written and verbal, with the ability to document processes and optimizations clearly

Responsibilities

• Participate inside the platform team to optimize mission critical data pipelines to maximize throughput, minimize latencies, and reduce operational costs
• Work closely with the Product Engineering and Core Engineering teams to implement improvements in data architecture and infrastructure
• Help monitor and analyse system performance data to identify optimization opportunities
• Contribute to the development and implementation of automated testing practices to ensure the robustness and reliability of data pipelines
• Provide technical support and troubleshooting for data pipeline issues, ensuring timely resolution and minimal disruption to operations
• Maintain comprehensive documentation of data pipeline processes and optimizations

Preferred Qualifications

Some experience with cloud-based data processing platform (Data Bricks, Snowflake) and data transformation frameworks/engine (e.g., Apache Spark, Python Pandas) is advantageous

Benefits

• Opportunities for professional development and career growth within a fast-paced, high-growth environment
• Guidance and mentorship from experienced engineers to support you in expending your expertise and impact
• Flexible remote work opportunities
• Competitive salary and benefits
• A supportive company culture focused on innovation, excellence, and continuous improvement