Senior Associate - Data Engineer - Data Warehouse Solutions
Oaktree Capital Management, L.P.Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain data warehouse solutions including dimensional modeling, fact/dimension tables, and reporting data marts within investment management.
Monitor and troubleshoot Azure data jobs/pipelines proactively to resolve failures, delays, or performance issues.
Own production support and CI/CD activities with responsibility for data accuracy, issue resolution, and release management using Azure DevOps and GitHub.
Minimum Requirements
6+ years professional software/data engineering experience, preferably in financial/investment management domains.
Bachelor's degree in Computer Science, Engineering, Information Systems or related field.
Hands-on experience with Azure data services (Azure Data Factory, Azure Functions), dbt transformations, MS SQL Server, GitHub repo management, Jira Agile delivery, and CI/CD pipelines using Azure DevOps.
Ability to collaborate with US-based teams during PST overlap hours (1 PM – 10 PM IST).
Ideal Candidate Profile
Experienced in financial services or investment domain with knowledge of attribution reporting, benchmark/index data, or security master data.
Comfortable working hands-on primarily on coding, production support, and technical issue resolution within an Agile framework.
Skilled in proactive risk identification and clarifying documented Jira requirements with distributed teams for timely delivery.
