About this role
The ALADDIN ITE-QAE team is a globally distributed engineering organization building scalable technology for financial analytics. We design and evolve data and analytics platforms that enable our quantitative models to be delivered in a robust, consistent, and performant manner.
We own the end-to-end stack supporting analytics across pricing, risk, attribution, optimization, scenarios, and portfolio analytics—spanning data pipelines, analytics infrastructure, and calculation engines —integrated into the broader Aladdin ecosystem for internal users and external clients.
We partner closely with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness.
Job Purpose / Background
We are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support analytics and client use cases across Aladdin.
Data includes indicative attributes, prices, analytics, exposures,



index-related and derived fields; datasets are quality-controlled and integrate seamlessly with client custom data. You will design production-grade systems, translating requirements into scalable, maintainable platform solutions and drive AI adoption by leveraging AI-assisted tools for coding, testing, and documentation—while adhering to data privacy, security, and governance standards.
Key Role Responsibilities
· Design and own scalable data infrastructure/models optimized for Snowflake
· Build and maintain robust ETL pipelines to ingest, transform, and curate large datasets
· Partner with SMEs/modelers to translate requirements into optimal data designs
· Implement data quality, validation, and monitoring frameworks
· Optimize workloads for performance, scalability, and cost
· Adopt AI-assisted engineering tools to improve delivery speed and quality, with appropriate controls
· Standardize deployments and ensu

📌 Data Engineer, Vice President (Mumbai)
🏢 BlackRock
📍 Mumbai