We’re looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers.
Requirements
- Bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications
- Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
- Experience working with Python in development or production environment
- Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
- Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
- Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
- Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
- Demonstrated continuous career growth within an organization
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