Senior Software Engineer - Backend/Data
- Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans
- Your Future: 401k Matching Program, Professional Development Reimbursement
- Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
- Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
- Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees
- Training: Hands-On, Team-Customized, including SS&C University
- Extra Perks: Discounts on fitness clubs, travel and more!
- Design, implement, and maintain data ingestion pipelines from external sources into centralized data lakes.
- Transform, normalize, and process large-scale data for downstream applications and analytics.
- Develop and maintain RESTful APIs to provide data access and integration points for internal and external systems.
- Collaborate with front-end engineers, business analysts, and product designers to ensure accurate and reliable data flows.
- Optimize performance, scalability, and reliability of backend systems and APIs.
- Apply software design patterns, code best practices, and automated testing methodologies.
- Monitor and troubleshoot data pipelines, APIs, and integrations in production environments.
- Stay current with emerging technologies and best practices in data engineering, backend development, and cloud-based solutions.
- Expertise in structured and unstructured data ingestion, modelling and transformation.
- Experience with MPP database design and integration.
- Experience with S3 (specifically MinIO).
- Expertise in RESTful API design and integration.
- Strong problem-solving and troubleshooting skills.
- Excellent verbal and written communication skills.
- Bachelor's degree in Computer Science, Software Engineering, or related technical/quantitative field (or equivalent experience).
- Experience with large-scale data processing frameworks.
- Experience in Data Lakehouse optimization.
- Experience in C#, .NET, SQL Server, and multi-tiered backend development.
- Knowledge of Docker/Kubernetes, Azure DevOps and application monitoring tools.
- Familiarity with financial services applications or private markets.
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