Data Operations & Monitoring Specialist

Oaktree Capital Management, L.P.; Hyderabad City Taluka; Presencial; PKR 2 500 000 - 4 200 000; Tempo integral

Resumo da oferta

Oaktree Capital Management, L.P. is seeking a Data Operations & Monitoring Associate within its Information Solutions group in Hyderabad.

The role focuses on integrating data monitoring capabilities, ensuring data pipelines stay healthy, and driving data quality across the organization. You will collaborate with data engineering, business SMEs, and data owners to implement scalable operational processes, build dashboards, and act as the primary line of defense for data issues, with a strong

Qualificações

• 6+ years of experience in data management, data operations, and data observability.
• Experience in asset management or financial data concepts is preferred.
• Familiarity with modern data architectures and data governance processes.

Responsabilidades

• Familiar with data operations model within Oaktree’s data frameworks, ensuring workflows run on schedule.
• Develop a cohesive data operations dashboard monitoring jobs, lineage, and quality issues.
• Diagnose data issues, perform RCA, and coordinate with technical teams for fixes.
• Manage day-to-day data operations ensuring end-to-end pipeline integrity.

Conhecimentos

Data operations

Data monitoring

SQL

Python

Data governance

Cross-functional collaboration

Root cause analysis

KPI development

Formação académica

Bachelor’s degree in business/engineering/CS

Ferramentas

Azure Monitor

Power BI

Descrição da oferta de emprego

Oaktree Capital Management, L.P. is seeking a Data Operations & Monitoring Associate within its Information Solutions group in Hyderabad.

The role focuses on integrating data monitoring capabilities, ensuring data pipelines stay healthy, and driving data quality across the organization. You will collaborate with data engineering, business SMEs, and data owners to implement scalable operational processes, build dashboards, and act as the primary line of defense for data issues, with a strong