Data Engineer

Overview

• Lead data engineering initiatives within a dynamic financial services organization, driving innovation and efficiency in data platforms.
• Collaborate with cross-functional teams to design and implement scalable, high-performance data solutions.
• Utilize advanced technologies to tackle complex data challenges and streamline workflows.
• Enhance your expertise in database technologies, automation, and infrastructure optimization.
• Contribute to the development of mission-critical systems supporting diverse investment strategies.
• Engage in a fast-paced environment with ample opportunities for professional growth.
• Be part of a collaborative team focused on innovation and excellence in data engineering.
• Impact the financial sector by enabling data-driven decision-making processes.

Key Responsibilities & Duties

• Design, implement, and maintain enterprise-grade database systems ensuring reliability and scalability.
• Develop and optimize automation scripts using SQL, PowerShell, and Python for efficient workflows.
• Collaborate on database design, modeling, and schema versioning to achieve optimal performance.
• Implement CI/CD pipelines using industry-standard tools to streamline deployments.
• Monitor and enhance system performance using advanced monitoring tools and techniques.
• Troubleshoot and resolve database issues to ensure operational continuity and reliability.
• Stay informed on emerging technologies and integrate them into existing systems effectively.
• Collaborate with stakeholders to align data solutions with organizational objectives and goals.

Job Requirements

• Bachelor of Science (BS) degree in a relevant field is required.
• Minimum of 3 years of experience in data engineering, preferably within the financial sector.
• Proficiency in Microsoft SQL Server and scripting languages such as SQL, PowerShell, and Python.
• Experience with Infrastructure as Code (IaC) and CI/CD pipeline tools is essential.
• Knowledge of database performance tuning and optimization techniques is required.
• Familiarity with monitoring tools and distributed data platforms is preferred.
• Strong communication skills for effective collaboration and documentation are necessary.
• Preferred skills include exposure to Apache Iceberg, PostgreSQL, and Kubernetes.