Job Responsibilities:
- Design, build, and deliver high-performing applications and frameworks that support the Markets Data Lake Platform and Markets Data Strategy.
- Drive innovation, collaboration, and engineering standards across the globally distributed team.
- Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
- Develop secure and high-quality production code, and review and debug code written by others.
- Drive decisions that influence product design, application functionality, and technical operations and processes.
- Serve as a function-wide subject matter expert in one or more areas of focus.
- Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
- Influence peers and project decision-makers to consider the use and application of leading-edge technologies.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Prior experience with Sell-Side analytics platforms (Athena, SecDB, Quartz, etc.) is a must.
- Advanced experience in software design and architecture, with a focus on Python development.
- Design and implement software applications and APIs to enhance the Markets Data Lake platform.
- Develop microservices and real-time services using technologies such as Kafka streaming.
- Experience with big data technologies and AWS Cloud Platform.
- Experience with AWS Lake Formation and database technologies, including both relational and NoSQL.
- Architect scalable and efficient solutions that align with the firm's federated data lake pattern.
- Strong systems engineering and software development skills.
- Experience building high-performance, highly available, and scalable systems.
- Excellent problem-solving, root cause analysis, and debugging skills.
Preferred Qualifications, Capabilities, and Skills:
- Experience developing APIs and foundational components.
- Strong SDLC mindset and familiarity with agile paradigms.
- Experience within DevOps, Infrastructure design, and transformation roles.
- Experience with scripting and compiled languages, such as Bash, Python, and C++.
- Comfortable working across different platforms and languages.