Data Engineer

Overview

• Develop and optimize robust data platforms to support analytics and investment strategies for a leading financial services firm.
• Collaborate with cross-functional teams to design innovative data solutions tailored to dynamic business needs.
• Enhance data pipelines for high performance, scalability, and reliability across diverse financial datasets.
• Utilize cutting-edge technologies to manage and process financial data efficiently and securely.
• Ensure data integrity through rigorous validation, monitoring, and error-handling mechanisms.
• Investigate and resolve data issues to maintain seamless integration with external providers and internal systems.
• Contribute to a collaborative environment fostering innovation and professional growth.
• Provide tailored data solutions to meet the evolving needs of investment professionals.

Key Responsibilities & Duties

• Design and implement scalable data platforms to manage diverse financial datasets effectively.
• Develop automation tools to streamline data pipeline operations and enhance efficiency.
• Collaborate with investment teams to understand and fulfill complex data requirements.
• Utilize timeseries databases for efficient data storage, querying, and analysis.
• Build and maintain data quality tools to ensure validation and error detection mechanisms.
• Investigate discrepancies in data and coordinate with providers for resolution.
• Integrate alternative and unstructured data sources into the existing data platform.
• Contribute to the development of innovative solutions to derive actionable investment insights.

Job Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in software development and data engineering.
• Proficiency in Python and SQL for data manipulation and engineering tasks.
• Strong communication skills for effective collaboration across teams and stakeholders.
• Knowledge of financial products such as options and swaps is advantageous.
• Familiarity with AWS ecosystem and streaming pipeline technologies preferred.
• Experience with OLAP platforms and timeseries databases is beneficial.
• Understanding of key financial data vendors like Bloomberg and FactSet is a plus.