Note: If screened-in, you will be invited for initial rounds on 28th November 2026 (Saturday) in Hyderabad.Work model : HybridWork from office : 3 days per weekWork from home : 2 days per weekOffice shifts :Shift 1: 1:00 PM 10:00 PMShift 2: 2:00 PM 11:00 PMResponsibilities :As a Senior Associate or AVP technical resource, you will participate in data engineering, automation, and dashboards for enterprise reporting workflows in Alternative Investment Strategies.Data Engineering & Architecture :- Design and maintain cloud-ready data pipelines and dimensional models using SQL, Python, Power BI, Microsoft Fabric/Azure, and AWS services (S3, Glue, Lambda, Redshift, Snowflake, Aurora).- Implement secure, automated ingestion from Oaktree systems, MDM, data warehouse sources, FTP/email feeds, vendor files, Salesforce, and governed reporting datasets.- Build performant ELT/ETL workflows for investment, portfolio, cash activity, audit log, exception, exposure, attribution, and reporting-control data.- Develop reusable SQL and Python utilities, including advanced SQL optimization, window functions, pandas/PySpark data engineering, REST/GraphQL integration, validation checks, and test automation.BI, Automation & Controls :- Create institutional Power BI dashboards, semantic models, paginated reports, DAX measures, Power Query/M transformations, row-level security,



and deployment pipeline assets.- Troubleshoot refresh failures, gateway/OneLake dataset issues, data type conversion errors, transformation exceptions, and production publishing issues.- Apply Git, CI/CD, release management, logging, documentation, and data-quality SLAs.- Use infrastructure-as-code (CloudFormation/Terraform) and orchestration patterns (Airflow, Step Functions, Fabric pipelines).Qualifications :- 10+ years in data engineering, BI development, reporting automation, or analytics engineering in asset management, investment banking, or financial services.- Exposure to alternative investments is required (asset-based finance, structured credit, private credit, etc.).- Robust hands-on proficiency with SQL, Python, Power BI, DAX, Power Query/M, and semantic models.- Working knowledge of cloud data platforms (Microsoft Fabric/Azure, AWS) and PySpark notebooks.- Understanding of data governance, reporting standards, and compliance frameworks.- Familiarity with return/performance concepts (TWR, MWR, IRR, MOIC, TVPI, DPI, RVPI).Education :- Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics, Finance, Accounting, or equivalent experience. (ref:hirist.tech)

📌 Oaktree Capital Management - Senior Associate/Assistant Vice President - Data Engineering & BI (Hyderabad)
🏢 Hirist.tech
📍 Hyderabad