We are currently sourcing for a Text Search Engineer to work in the Asset Management Group in Durham, NC.
Team
The team is comprised of a diverse set of technology professionals including application developers, database engineers, data scientists and tool prototypers with quantitative backgrounds who work collectively with our business partners to take ideas from a whiteboard, through prototypes that garner feedback to be rapidly deployed to our users, all the way through to integration with enterprise applications in the AWS cloud.
The Vision is to build a best-in-class platform for alternative data and the Mission is to provide the Right Data to the Right People at the Right Time with the Right Quality and Right Coverage.
Overview
The ADAPT Team in the Asset Management organization is an embedded team passionate about unlocking the potential of new technologies, techniques and datasets, to assist our Investment Professionals in generating alpha for our investment products and customers.
The role is ideal for someone with an enterprise development background, with a strong technology, coding and data skills, looking to operate in a less constrained environment, as part of an accelerated development team.
Ideally the candidate is a full stack, but this role will be primarily passionate about processing and generating Analytics from structured and unstructured datasets with the ability of parallel processing potentially in the cloud.
location: Durham, North Carolina
job type: Contract
work hours: 9am to 5pm
education: Bachelors
responsibilities:
The Expertise You Have
- Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.
- 5+ years experience of enterprise development and a desire to work on a fast-paced development team with the experience of balancing multiple tracks concurrently.
- Understand architecture of search system and components and interfaces
- Hands-on experience crafting and developing in the heart of a search solution (e.g. Solr, Lucene, Lucid Works, Lucidworks / Elastic Search, etc.)
- Hands-on working experience in Python / Java
- Engineer automated techniques and processes for the bulk indexing of large-scale data sets residing in database or un-indexed systems
- Understanding of internals of SOLR physical and logical layout
- Expertise in tuning the of search results.
- Operational understanding and experience deploying and managing search at scale
- Solid experience in SOLR query languages and writing complex queries with joins and aggregate that deals with large amounts of data.
- Good knowledge on Promoting search results, Facet searches, Pivot facet, Stats component, Boost queries, using Filter Queries etc.
- Load balancing, integrating multi core searches.
qualifications:
- Experience level: Experienced
- Minimum 5 years of experience
- Education: Bachelors
skills:
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