Senior Associate - Data Engineer -Attribution reporting

Overview

Hands-on Software Engineer role on the Data Solutions team, building, enhancing, modernizing and supporting attribution reporting and index/master data platforms in the investment management domain. Approximately 80% coding, implementation, troubleshooting, testing and production support; not a people-management or primary solution architecture role.

What you'll do

• 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, 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, integration and regression testing, data validation and reconciliation checks, and support UAT with business users.
• Interact with 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.

What you'll need

• 10+ years of professional software engineering experience.
• Bachelor's 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.
• 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.

Nice to have

• Experience with benchmark or index data providers such as Bloomberg, FactSet, MSCI, S&P, ICE/Barclays, or similar providers.
• Experience building or integrating AI-assisted developer productivity tools, LLM-based code-generation assistants, automated code review tools, test-generation utilities or workflow automation using platforms such as GitHub Copilot, OpenAI Codex, ChatGPT, or similar tools.
• Practical experience applying AI-assisted development practices to improve engineering productivity, code quality, documentation, testing and release workflows.
• Experience with Power BI for reporting, validation, analytics support or business-facing data review.
• Experience with front-end frameworks such as React or Angular.
• Experience modernizing legacy applications, data pipelines and reporting processes.
• Experience supporting high-availability or business-critical reporting platforms.

Details

• Location: Hyderabad.
• Work mode: Hybrid (3 days in office / 2 days remote).
• Timings: 1PM–10PM or 2PM–11PM.
• Provide overlap with PST morning hours for US-based stakeholder engagement.
• Occasional after-hours/on-call support for critical issues.