Описание
A leading investment firm delivers datasets that power research, analytics, and trading workflows across the business. The firm operates in a sophisticated investment environment with large and diverse datasets.
Задачи
- Develop and maintain data pipelines supporting investment research and business-critical processes;
- Automate the onboarding and processing of new datasets to improve efficiency and scalability;
- Contribute to the design and enhancement of the broader data architecture and tooling;
- Monitor data feeds, investigate issues, and help ensure high levels of data integrity;
- Work with internal stakeholders to understand requirements and support data-driven decision-making;
- Help establish controls and validation processes to improve data quality and coverage.
Требования
- Strong Python development skills with an interest in data-focused engineering;
- Experience building, supporting, or improving automated data pipelines;
- Exposure to cloud environments, ideally AWS;
- Familiarity with source control and collaborative software development practices;
- Strong communication skills and the ability to understand end-user requirements;
- Nice to have: exposure to databases, data lake technologies, or financial datasets.
Условия
Competitive base salary, annual bonus and benefits package; Specific compensation and benefits details are available on request.
#J-18808-Ljbffr
