Oaktree
Data Operations & Monitoring Associate
Overview
As a Data Operations & Monitoring Associate within Oaktree's Information Solutions team, you will be responsible for the integration of data monitoring capabilities such as critical job monitoring, system performance health check, fixing critical data issues, loads and meeting data SLAs are aligned with long-term scalability, sustainability and observability.
About Oaktree
As a part of Brookfield’s $416B credit platform, Oaktree is a premier credit manager emphasizing an opportunistic, value-oriented, and risk-controlled approach to investing across credit, equity, and real estate.
Requirements & Eligibility
- 6+ years of experience in data management, data operations, and data observability capabilities.
- Knowledge of the asset management industry and financial data concepts.
- Expertise in semantic data models, modern data architecture such as Kimbal, medallion, fabric, data quality rules/ validation frameworks, and data governance processes.
- Familiarity with querying tools (e.g., SQL), Python, Monitoring the job schedules, system performance health checks on daily basis.
- Bachelor’s degree in business, engineering, computer science, or a related field.
Key Responsibilities
- Familiar with data operations model within Oaktree’s data operational/solutions frameworks, ensuring that data workflows are up and running within schedule times.
- Collaborate with data engineering teams, business SMEs, data owners to define and implement operational processes that align with data pipeline architectures.
- Develop a cohesive data operations dashboard that proactively monitors jobs and its dependences, it’s lineage and resolves quality issues.
- Serve as the primary line of defense for diagnosing data issues, performing root cause analysis, and working directly with technical teams or business stakeholders to remediate issues.
- Manage the day-to-day activities of data operations, ensuring that data flows through the end-to-end pipeline efficiently and accurately.
- Develop performance metrics and KPIs to measure the effectiveness of data operations.
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