Join a leading buy-side investment firm as a Data Reliability Engineer supporting mission-critical data platforms used by quantitative researchers and trading teams. This role combines data operations, production support, automation, and incident management, ensuring the accuracy, reliability, and availability of large-scale data pipelines across Linux, Windows, and AWS environments. Ideal for candidates with SQL, Python, and troubleshooting experience.
Responsibilities
- Monitor and support mission-critical data pipelines to ensure data accuracy, availability, and reliability.
- Investigate and resolve production incidents, communicating updates to end users and stakeholders.
- Perform data validation, data quality checks, auditing, and operational support activities.
- Develop and maintain Python- and SQL-based tools, processes, and documentation to improve operational efficiency.
Qualifications
- 3+ years of experience in production support, application support, data operations, or a similar technical support role.
- Hands-on experience with SQL Server, Python, Linux, Windows, and AWS environments.
- Strong troubleshooting, incident management, and problem-solving skills.
- Excellent communication, organization, and attention to detail, preferably within a financial services or data-intensive environment.
Job ID PR/600612
We support the Financial Sciences & Services industry with talent that can truly shape the future of a business.
Whether that be Quantitative Analyti...
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