Data Engineer – Webscraping
5 dni temu
The Data Science & AI team is a key part of BAM's continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm's core business.The analysis, services, software, and operational expertise that Data Science & AI provides are part of BAM's competitive advantage.
Role Overview
The Webscraping team is a team of dynamic, creative problem solvers located around the globe. We combine high technical expertise with cutting-edge technology to obtain any data on the web which can help our investment teams generate returns. We work on a huge variety of data, from hurricane forecasts in Florida to iPhone prices in China. We find data which nobody else has, and we deliver it to investors with unmatched speed and reliability.
Just as every website is different, every solution we work on is unique and requires innovative, outside-the-box thinking. We are looking for a technically proficient, creative and detail-oriented Data Engineer to join the Warsaw branch of our global team. You will help us provide critical data, infrastructure and support to teams across the firm that directly impact their investment decisions every day.
Key Responsibilities
- Design, implement and maintain robust and reliable pipelines for delivering alternative datasets gathered from a variety of web-based sources.
- Collaborate with investment staff to understand, anticipate and meet their requirements.
- Author QC checks to validate data availability and integrity.
- Maintain alerting systems and investigating time-sensitive data incidents to ensure smooth day-to-day operations.
- Design and implement products and tools to enhance the Webscraping platform.
- Participate in on-call rotations to support our products and investors, embodying our "own what we build" philosophy.
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science or a related field.
- 1-3 years of software development experience.
- Strong proficiency in Python (including pandas) and SQL/Database skills.
- Experience with web technologies (HTML/JS, APIs) and networking.
- Proficiency in Linux (Windows experience is a plus).
- Excellent verbal and written communication skills.
Preferred Qualifications
- Aptitude for designing infrastructure, data products, and tools for Data Scientists.
- Familiarity with scraping and common scraping tools (Selenium, scrapy, Fiddler, Postman, XPath).
- Proficiency in containerizing workloads with Docker (Kubernetes experience is a plus).
- Experience with build automation tools (Jenkins, GitLab CI/CD).
- Familiarity with cloud technologies, particularly AWS.
Why Join Us?
- Be part of a dynamic and innovative global team.
- Contribute to high-impact projects that drive our investment strategies.
- Leverage cutting-edge AI and ML technologies to enhance and scale operations.
- Opportunities for professional growth and career advancement.
- Work in a collaborative environment that values diversity and inclusivity.
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