Data Engineer – Equities Technology

Principal Responsibilities

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc.
Support and run processes for equity portfolio research and risk management

Qualifications/Skills Required

Candidate must have a minimum of 4 years of professional data engineering experience ideally at a top tier technology/fintech companies.
Strong working knowledge of software design including algorithms and object oriented design
Advanced Python programming (must have 3+ years of professional development experience on topics like OOP etc.).
Advanced working knowledge of SQL ; 3+ years of professional development experience
Experience with Distributed Computing and System Design
Experience developing solutions in ‘big data’ analytics engines (particularly Apache Spark)
Good team player with a strong willingness to participate and help others.