About blueStone

blueStone is a leader among global investment managers specializing in alternative investments, with approximately $224 billion in assets under management as of March 31, 2026. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments across credit, equity and real estate. blueStone has offices in 26 cities worldwide.

The Opportunity

The Risk & Reporting (R&R;) team is building technology-enabled performance analytics, investor reporting, and reporting-automation infrastructure across blueStone's closed-end, open-end and evergreen strategies. The team supports roughly 1,000 recurring and custom reports and partners across investment teams, client, finance, valuation, data, technology, legal / compliance, and enterprise solution groups to improve data quality, reporting speed, and production controls.
As an Associate Technical Contingent Worker resource for OVS, you will support data engineering, automation, dashboard, and control work for Origination Vehicle Solutions and related Opps / enterprise reporting workflows.

What You'll Do

Data Engineering & Architecture

- Build and maintain cloud-ready data pipelines and dimensional models using SQL, Python, Power BI, Microsoft Fabric / Azure, and, where relevant, AWS services such as S3, Glue, Lambda, Redshift, Snowflake or Aurora;
- Implement automated ingestion from blueStone systems, MDM, data warehouse sources, FTP / email feeds, vendor files, Salesforce, servicer or administrator reports, and governed reporting datasets;
- Support ELT / ETL workflows for investment, portfolio, cash activity, audit log, exception, exposure, attribution, and reporting-control data;
- Develop reusable SQL and Python checks, including query optimization, window functions, pandas / PySpark data engineering, REST / GraphQL integration, and test automation.

BI, Automation & Controls

- Build Power BI dashboards, semantic models, paginated reports, DAX measures, Power Query / M transformations, row-level security, and deployment-pipeline assets;
- Investigate 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 checks so recurring R&R; outputs are auditable, repeatable, and supportable;
- Use infrastructure-as-code and orchestration concepts such as CloudFormation, Terraform, Airflow, Step Functions or Fabric pipelines where appropriate.

OVS Technology & Reporting Coverage

- Support Origination Vehicle Solutions, Opps, VOF, and corporate-reporting workflows through controlled data models, dashboards, reusable extracts, and exception monitoring;
- Build Power BI / Salesforce-enabled pipeline and enterprise dashboard logic, including deal-stage filters, region filters, expected close dates, accruing-expense flags, and unique deal identifiers;
- Develop checks for deal IDs, expense tracking, vendor-fee workflows, Workday tagging, budget fields, Salesforce data quality, and hand-offs to AXON, Fund Accounting, Tax, OVS, and other enterprise solution users;
- Partner with investment teams, OPPS R&R;, Technology, Finance / Accounting, Tax, AXON, administrators, and enterprise solution groups to improve pipeline data quality and reduce ad hoc information requests.

Partnership & Delivery

- Translate business requirements into technical notes, data dictionaries, test cases, and production support documentation;
- Support handoffs between US stakeholders, Hyderabad delivery, Technology, and report consumers, and help analysts follow durable reporting practices;
- Use approved GenAI tools responsibly to accelerate analysis, documentation, test-case creation, and support diagnostics.

What You'll Bring

Required

- 5+ years in data engineering, BI development, reporting automation, or analytics engineering, preferably in asset management, investment banking,



fund administration or financial services;
- Robust hands-on proficiency with SQL, Python, Power BI, DAX, Power Query / M, semantic models, paginated reports, and data validation for recurring reporting;
- Working knowledge of Microsoft Fabric / Azure and/or AWS services such as S3, Glue, Lambda, Redshift, Snowflake or Aurora;
- Familiarity with return and performance concepts such as TWR, MWR, IRR, MOIC, TVPI, DPI and RVPI, plus exposure, attribution, benchmark, and investor-reporting outputs;
- Strong written and verbal communication skills, with the ability to turn reporting requirements into clear technical analysis, controls, and documentation.

Preferred

- Experience with schema design, CDC, orchestration, IAM / secure data access, Git, CI/CD, CodeBuild / CodePipeline, GitHub Actions, testing, and release controls;
- Familiarity with blueStone internal reporting systems and workflows such as Geneva, IPS, Salesforce, Workday, AXON, eFront-style investor platforms, Jira, and Confluence;
- Domain exposure to private credit, opportunistic credit, emerging markets debt, origination vehicle solutions, portfolio construction, investment performance or client reporting;
- AWS Data Analytics, Power BI Data Analyst, Azure / Fabric, CFA, FRM, CAIA or CIPM credentials are a plus.

How You Work

- Builder's mindset, energized by replacing manual report production with controlled, well-engineered data products;
- Curious, rigorous, and accountable, with the patience to investigate source-system breaks until the data and controls hold together;
- Organized and independent, able to manage assigned technical workstreams, production issues, documentation, reviews, and deadlines;
- Team-oriented and professional, with the ability to support analysts and partner effectively with business, reporting, data, and technology teams.

Education & Credentials

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Finance, Accounting or a related analytical field, or equivalent work experience building data / BI solutions in investment management.

📌 Associate - Technical Risk & Reporting - OVS (Telangana)
🏢 Bluestone Software
📍 Telangana