Senior Associate - Data Engineer -Attribution reporting

Software Engineer – Data Solutions Hands-on technical  role focused on performance contribution/attribution reporting and index/master data platforms Role positioning This is a hands-on technical role with approximately 80% of the time focused on coding, implementation, troubleshooting, testing, and production support. It is not a people-management role and is not intended to be a primary solution architecture role.

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. Oaktree is committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. Oaktree is wholly owned by Brookfield, a leading global investment firm with more than $1 trillion in assets under management. Brookfield owns and operates high-quality businesses and real assets that provide essential services and form the backbone of the global economy. It invests on behalf of institutions and individuals around the world across infrastructure, renewable power and transition, private equity, real estate, and credit. For additional information, please visit Oaktree’s website at  http://www.oaktreecapital.com/ Role Summary The Software Engineer - Data will join the Data Solutions team and focus on building, enhancing, modernizing, and supporting attribution reporting and index/master data platforms within the investment management domain. The role requires strong hands-on engineering experience across backend/API development, data pipelines, SQL/data warehousing, CI/CD, and Azure cloud services. The ideal candidate must have prior asset management or investment management experience, including hands-on exposure to performance attribution and benchmark/index data. The person should be a self-starter who can work from documented Jira requirements, clarify open questions, and deliver high-quality technical implementation while collaborating closely with US-based teams and business stakeholders. Work mode: Hybrid (3/2) Timings: 1PM - 10PM or 2PM - 11PM Key Responsibilities ·    Develop, enhance, modernize, and support applications, APIs, data pipelines, and reporting components for attribution reporting and index/master data platforms. ·    Work from documented Jira requirements, clarify business or technical questions where needed, estimate work, and translate requirements into reliable technical implementation. ·    Build backend services, APIs, and web application components using C#/.NET and Python. ·    Develop and support data pipelines using Azure Data Factory and internal or custom ETL/ELT tools. ·    Write complex SQL queries, stored procedures, and data processing logic in MS SQL Server; optimize query and batch performance. ·    Support data warehouse solutions, including dimensional models, fact and dimension structures, reporting data marts, and historical data handling. ·    Own production support for attribution reporting and index/master data platforms, including troubleshooting, data issue resolution, stability improvements, release support, and occasional after-hours/on-call support for critical issues. ·    Perform unit testing, integration testing, regression testing, data validation, reconciliation checks, and support UAT with business users. ·    Interact with business teams such as performance, attribution, portfolio analytics, operations, and investment reporting teams to clarify requirements, validate outputs, and resolve issues. ·    Support CI/CD, release management, environment coordination, and deployment activities using Azure DevOps and Git. ·    Refactor existing applications, APIs,