Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
 - Develops secure and high-quality production code, and reviews and debugs code written by others
 - Drives decisions that influence the product design, application functionality, and technical operations and processes
 - Serves as a function-wide subject matter expert in one or more areas of focus
 - Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
 - Influences peers and project decision-makers to consider the use and application of leading-edge technologies
 - Adds to the team culture of diversity, equity, inclusion, and respect
 
Required qualifications, capabilities, and skills
- 10+ years of experience in Software Development and Data Engineering in Cloud native Data & Analytics Platforms
 - Hands-on practical experience delivering system design, application development, testing, and operational stability
 - Advanced knowledge in one or more programming language(s) - Python, PySpark, SQL
 - Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
 - Ability to tackle design and functionality problems independently with little to no oversight
 - Practical cloud native experience including but not limited to Data Mesh architecture, Storage solutions, Data ingestion pipelines, Data Consumption APIs, IaaS, Workflow orchestration etc.
 - Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
 
Preferred qualifications, capabilities, and skills
- Previous experience in working with Quant Researchers
 - Familiarity with Dimension Modelling