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Partner with investment teams on web data requirements to find appropriate sources, design data models and scraping specs
Engage vendors and technical teams to systematically ingest, evaluate, and create valuable data assets
Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of financial datasets
Collaborate with core engineering team to create central capabilities to process, manage and distribute data assets at scale
Investigate and remediate domain-specific production issues escalated by the operations teams
Enrich the central data catalog with advanced data profiling visualizations to enable discovery and evaluation
Build up internal documentation and sample uses cases of the data sets
Types of data and websites to scape is universal in scope - not solely financial based
Required Experience:
3 and above years of experience
Bachelors degree in STEM
Experience with public website structures (sitemap) and technologies (html/javascript/api)
Web scraping experience a MUST
Experience with data modeling and data warehousing
Skilled in SQL, basic knowledge of Python is desired - No coding required
Experience working with FTP, API, S3 and other distribution channels to source data - Nice to have not required
Experience working on multiple projects and with different stakeholders
Desired Experience:
Experience working with alternative and public datasets to answer investment debates
Experience working with cloud native tools for data processing and distribution
Financial domain knowledge a plus
Full Time