HYDERABAD · FULLTIME
Sr Associate - Data Engineer -Attribution reporting
Oaktree
Hyderabad · onsite · Posted 4d ago
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Undisclosed10–15 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
Key Responsibilities
Required Qualifications
Required Domain Experience
Required Technical Skill Areas
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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.
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, data pipelines, and reporting components to improve maintainability, performance, scalability, and reliability.
- Prepare and maintain technical documentation, implementation notes, runbooks, production support procedures, release notes, and knowledge transfer materials.
- Follow secure coding practices, data governance standards, auditability requirements, and control processes appropriate for investment reporting and data platforms.
- Provide informal technical guidance to other developers through code reviews, implementation guidance, best practices, and knowledge sharing.
Required Qualifications
- 10+ years of professional software engineering experience.
- Bachelors degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong hands-on experience with C#/.NET development.
- Strong hands-on experience with Python development.
- Experience with backend/API/web application development.
- Strong experience with MS SQL Server, including complex SQL, stored procedures, query optimization, and performance tuning.
- Experience with Azure Data Factory and ETL/ELT data pipeline development, including internal or custom ETL platforms.
- Experience with Git, branching strategies, code reviews, and collaborative development practices.
- Experience with Azure DevOps, CI/CD pipelines, build/deployment automation, release management, and environment coordination.
- Experience with Azure cloud services such as Azure Functions, App Services, Storage Account, Key Vault, Logic Apps, Service Bus, or similar capabilities.
- Strong understanding of data warehouse concepts, including dimensional modeling, fact and dimension tables, historical data, reporting marts, and data quality controls.
- Experience working in Agile/Scrum delivery models, including Jira or Azure Boards, user stories, estimation, sprint planning, and delivery ceremonies.
- Strong troubleshooting, analytical, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to work effectively with US-based technology teams, business stakeholders, architects, managers, and support teams.
Required Domain Experience
- Must have experience in the investment management or asset management domain.
- Hands-on exposure to performance attribution concepts, attribution data, and attribution reporting.
- Experience working with benchmark, index, market, reference, and security master data.
- Familiarity with investment data across multiple asset classes; expertise in a specific asset class is not required.
- Experience working with benchmark or index data providers such as Bloomberg, FactSet, MSCI, SP, ICE/Barclays, or similar providers is desirable.
Required Technical Skill Areas
- Application Development: C#/.NET, Python, backend services, APIs, and web application components
- Data Engineering: Azure Data Factory, ETL/ELT, internal ETL tooling, data transformations, validation, and reconciliation
- Database: MS SQL Server, complex SQL, stored procedures, data modeling, performance tuning, and data quality checks
- Cloud: Azure Functions, App Services, Storage Account, Key Vault, Logic Apps, Service Bus, and related Azure services
- DevOps: Azure DevOps, Git, branching strategies, CI/CD pipelines, deployments, release management, and environment coordination
- Data Warehouse: Dimensional modeling, fact/dimension tables, reporting
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationAzure DevopsAgileapisAsset ManagementAzure ServicesApp ServicesAnalyticsadvertisingBloombergArchitectureAzure Data FactoryAngularjsApplication DevelopmentMicrosoft AzureAPI DevelopmentAzure FunctionsArtificial Intelligence
Section · Company
About Oaktree Capital Management
Oaktree
Investment Banking / Venture Capital / Private Equity
1001-5000
employees
1995
31 years old
Los Angeles, California
United States
About
Oaktree Capital Management is a leader among global investment managers specializing in alternative investments.
Our competitive advantages include our experienced team of investment professionals, a global platform and a unifying investment philosophy that is complemented by a set of core business principles.
Our expertise in investing across the capital structure has allowed us to cultivate a diversified mix of global investment strategies in three categories: credit, equity, and real estate. We emphasize an opportunistic, value-oriented and risk-controlled approach to investing in these asset classes.
Industries
Investment Banking / Venture Capital / Private Equity
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