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Data Engineer
3 months ago
RESPONSIBILITIES:
Be part of Data Engineering team responsible for all market data in the firmDesign and implement data-ingestion and data-processing pipelines and tools for a diverse range of datasets using Python, Linux and AWS Cloud platform.Work with variety of backend database storage systems including MS SQL Server, AWS Redshift, Cassandra, Snowflake and MongoDBEnhance and build out API and libraries to access firm’s centralized data platform (Datalake)Hands on building out next generation real-time market data platformLead ad hoc projects related to data (e.g., assessment of a dataset, quarterly review of the data library, creation of a website)Become the subject matter expert of different market and alternative datasets used for alpha research and trading across different strategies and asset classes. DESIRABLE CANDIDATES: Minimum 2 years of working experience in data engineeringProficient coding experience in Python and Linux environmentExperience working with commercial database engines, including MS SQL Server and cloud-based databases such as Redshift or Apache CasandraExperience with AWS ecosystem, familiar with S3 and Lambda function preferredAttention to details and analytical rigorDemonstrated interest in finance and aspiration to build a future proof data and information infrastructureAbility to communicate efficiently and concisely (both written and verbal communication)Master’s degree in mathematics, computer science, financial engineering or other technical discipline a major plus Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status. BASE SALARY RANGE$, – $, USD (depending on experience)-
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