Python Engineer - Remote
We have a current opportunity for a Python Engineer on a contract basis (12 months) . The position is a fully remote role. For further information about this position please apply.
Role:
- Build and deliver investment data technology solutions in support of Research, Portfolio Management, Trading, Analytics and Reporting functions.
- Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and quality.
- Collaborate with business analysts, product owners, and project managers to develop user stories, estimates, and work plans.
- Work with minimal supervision and advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies.
- Identify, design, and implement changes to data pipelines at various stages including data ingestion, data validation, and quality control, data integration, storage, management, and data delivery.
- Write unit/integration tests, contribute to engineering wiki, and write detailed documentation
- Build high-performance and scalable data-transfer toolsets which reliably transfer datasets between endpoints within established SLA's.
- Focus on data consistency, refresh rates and caching requirements while keeping the data current across a variety of interfaces.
- Build and enhance CI/CD pipelines and develop supportable solutions. Participate in code and design reviews.
- Provide technical troubleshooting and support for production systems.
Qualifications:
- Bachelor's degree in engineering, math, computer science, or a related field, or equivalent work experience.
- 4-5 years of programming experience in Python (open source) or equivalent.
- Proficiency in building RESTful APIs and web services.
- 4-5 years of SQL experience.
- Proven track record of leveraging SOLID principles and Domain Driven Design to drive successful outcomes.
- Experience in high performance and high availability data applications including expertise in performance optimization and tuning.
- Experience with automated acceptance testing and ability to write unit-tested, maintainable code.
- Strong understanding of cyber security risks and demonstrated ability to design and build highly secure applications.
- Experience working in a dynamic and interactive team environment to build world-class software implementations.
- Knowledge of best practices and IT operations in an always-up, always-available service.
- Experience working with both Agile/Scrum and waterfall methodologies with a software development and integration focus.
Preferred Competencies:
- Master's degree in engineering, math, computer science, or a related field
- Proficiency with NoSQL database implementation and optimization
- Ability to work on multiple programming languages and platforms is strongly preferred
- Financial services industry knowledge or experience
- Kafka
- Airflow
- PostrgeSQL
- Ansible
- Elastic Stack
- RabbitMQ
- Redis
- Docker
- Okta, OAuth2, PlainID
FAQs
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