Data Engineer

Overview

• Contribute to the development of a robust data platform supporting advanced investment strategies.
• Collaborate with cross-functional teams to design and implement secure, high-performance systems.
• Gain exposure to diverse areas of the financial sector, including equity, credit, and derivatives trading.
• Utilize advanced technologies to solve complex challenges and innovate at scale.
• Work in a dynamic environment with direct access to senior leadership and decision-making processes.
• Enhance your skills in database technologies, automation frameworks, and infrastructure optimization.
• Participate in the evolution of mission-critical systems and contribute impactful solutions.
• Be part of a collaborative team focused on performance and innovation.

Key Responsibilities & Duties

• Design, implement, and maintain enterprise database technologies with a focus on Microsoft SQL Server.
• Develop automation scripts using SQL, PowerShell, and Python to streamline deployments.
• Optimize database performance through indexing strategies and execution plan analysis.
• Collaborate on database design and modeling, ensuring normalization and schema versioning.
• Implement CI/CD pipelines using tools like Jenkins, Azure DevOps, or GitHub Actions.
• Monitor system performance using open-source tools such as Prometheus and Grafana.
• Troubleshoot and resolve database-related issues to ensure system reliability.
• Stay updated on emerging technologies and apply them to enhance platform capabilities.

Job Requirements

• Bachelor of Science (BS) degree in a relevant field.
• Minimum of 3 years of experience, preferably in the financial sector.
• Proficiency in Microsoft SQL Server and scripting languages like SQL, PowerShell, and Python.
• Experience with Infrastructure as Code (IaC) and CI/CD pipelines.
• Knowledge of database performance tuning and optimization techniques.
• Familiarity with open-source monitoring tools and distributed data platforms.
• Strong communication skills for collaboration and documentation.
• Bonus skills include exposure to Apache Iceberg, PostgreSQL, and Kubernetes.