Job Description:

Role: Data Engineer with Hedge Fund experienceLocation: NYCContract or fulltimeDo you have the following skills, experience and drive to succeed in this role Find out below.Responsibilityâ— Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficienciesâ— Evaluate, select and acquire new internal & external data sets that contribute to business decision-making.â— Engineer streaming data processing pipelines.â— Drive adoption of Cloud technology for data processing and warehousing (AWS ,Azure).â— Engage with data consumers and producers in order to design appropriate models to suit all needs.Skills and Experience we are looking forâ— 8 - 11 years (expert) / 11+ years (advanced) of relevant work experience in a team-focused environmentâ— A bachelor's degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)â— Working knowledge of more than one programming language (Python, Java, C , C#, etc.)â— Deep understanding of multi multi-dimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processesâ— In-depth knowledge of relational and columnar SQL databases, including database designâ— General knowledge of business processes, data flows and the quantitative models that generate or consume dataâ— Excellent communications skills and the ability to work with subject matter expert to extract critical business conceptsâ— Independent thinker, willing to engage, challenge or learnâ— Ability to stay commercially focused and push for quantifiable commercial impactâ— Strong work ethic, a sense of ownership and urgencyâ— Strong analytical and problem-solving skillsâ— Ability to collaborate effectively across global teams and communicate complex ideas in a simple mannerâ— Strong understanding of data structure and algorithmsâ— Functional knowledge of buy-side business is good to haveâ— Working with data pipes from Bloomberg, Reuters, Fact set etc. is good to have.Preferred Qualificationsâ— Hadoop, HBase, spark, Apache Arrow, data streamingâ— Custom Data Catalog, Airflow, Grafana, Iceberg, Fast API, Pythonâ— Scraping large-scale public datasets in real timeâ— Building and maintaining large-scale high performance computing applications