Senior Data Engineer
1 month ago
Based in Chicago and with a presence in various locations across the U.S., Canada, Europe, and Asia, we trade in diverse asset classes worldwide. In addition to traditional trading, we have branched out into real estate, venture capital, and cryptoassets.
Our culture values respect, curiosity, and open-mindedness, emphasizing not only what we do but also how we do it. At DRW, we foster an environment of high standards, integrity, innovation, and a commitment to challenging norms.
Joining us as a Senior Data Engineer in the Unified Platform team, you will play a crucial role in developing an innovative data platform used by Traders, Quantitative Researchers, and Back-Office staff.
Overview of technical requirements:
- Skilled in designing and constructing data-intensive distributed systems
- Familiarity with modern batch and streaming data ecosystems
- Proficiency in Java/Scala or Python, along with expertise in SQL and Bash
- Capability to lead and drive team projects
- Contribution to project management and reporting
- Mentorship on engineering best practices and code quality
- Contribute to the design, construction, and maintenance of DRW's Unified Data Platform
- Collaborate with Traders and Researchers to identify suitable data sources and implement processes for data integration and management to facilitate future trading opportunities
- Create data solutions to assist in data discovery, organization, usage tracking, rights management, and quality control to meet the requirements of various DRW trading teams
- Monitor data ingestion pipelines and data quality continuously to ensure data stability, reliability, and accuracy
- 7+ years of experience in modern data technologies and/or building data-intensive distributed systems
- Advanced proficiency in Java/Scala or Python with a track record of delivering high-quality, sustainable code
- Strong command of SQL and Bash
- Experience in utilizing and constructing cloud-native technologies for scalable data processing
- Prior exposure to both batch and streaming systems, comprehending the limitations of these paradigms
- Proficiency in various data processing and storage technologies and formats
- Expertise in managing complex data ETL Pipelines and ensuring schema governance and evolution
- Demonstrated ability to implement data quality control processes effectively
- Willingness to mentor junior team members and advocate for engineering best practices and code quality
- Strong problem-solving skills and capability to thrive in a fast-paced, agile environment
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