Software Engineer @ Rimes
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 innovative platform team. This team is dedicated to create an enterprise data management solution using an ETL platform. In this role, you will be responsible for developing new data processing libraries that integrate into full data pipelines. You will ensure these processes are optimized throughout the entire pipeline, guaranteeing robustness, scalability, and efficiency to deliver high-quality data solutions to our clients. Additionally, you will provide a framework to translate business logic into data pipelines, which is essential for democratizing the use of advanced data solutions within our organization. Key Responsibilities: Data processing creation: Contribute to the development and deployment of data processing solutions. Address various challenges to leverage the ETL platform and create an abstracted behaviour that democratizes ETL pipeline creation and maintenance for our internal users. Collaborate with Product Teams: Work closely with the product team to understand requirements and deliver high-quality data processing that meet client needs. Quality Assurance: Ensure a high level of quality in all deliverables through rigorous testing and code reviews and implement best practices for coding standards, security, and performance optimization Technical Support: Provide technical support to resolve issues and ensure smooth usage of our platform. Documentation: Maintain comprehensive documentation of all developed services. Qualifications: Technical Skills: Proficient in Python and data manipulation libraries such as PySpark and Pandas. Experience: Mandatory experience with…
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