Junior Software Engineer

About Rimes
Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world's leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.

Position Overview:
We are seeking a motivated and detail-oriented software engineer to join our Platform Team, focusing on optimizing data pipelines under the guidance Principals Engineers. You will play a crucial role in enhancing the performance and efficiency of our data processing systems, ensuring they meet the high standards of reliability and cost-effectiveness required by our clients.

Key Responsibilities:

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

Qualifications:

• Educational Background:
  Bachelor's degree in Computer Science, Engineering, or a related field and 4+ years of experience in similar role
• Technical Skills:
  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).
• Experience:
  Some experience with cloud-based data processing platform (Data Bricks, Snowflake) and data transformation frameworks/engine (e.g., Apache Spark, Python Pandas) is advantageous.
• Analytical Skills:
  Strong analytical skills with the ability to derive insights from performance data.
• Team Collaboration:
  Ability to work effectively in a team environment and collaborate with senior engineers and product teams.
• Communication Skills:
  Good communication skills, both written and verbal, with the ability to document processes and optimizations clearly.

What We Offer:

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

If you are a passionate and detail-oriented engineer with a keen interest in data pipeline optimization, we encourage you to apply and join us on our journey to revolutionize financial data technology.

Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.
Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it's through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.

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