Data Engineer, Aladdin Data, Associate

Overview

Build and support enterprise data pipelines and data platforms for Aladdin, BlackRock's investment management and technology platform, enabling scalable processing of structured and semi-structured data.

What you'll do

• Design, develop, test, deploy, and maintain production-grade data pipelines and reusable ingestion and transformation components for structured and semi-structured data.
• Develop scalable data models and extract, load, and transform (ELT) transformations, using advanced SQL to support complex workloads while optimizing performance, scalability, and cost.
• Develop and operate reliable directed acyclic graph-based workflow orchestration frameworks for data and batch processing while implementing automated data-quality checks, reconciliation, lineage, alerting, monitoring, and failure handling.
• Build modular, maintainable, well-tested solutions and improve engineering productivity through reusable frameworks, automation, and responsibly governed artificial intelligence (AI)-assisted development.
• Partner with product teams, data specialists, and consumers to translate requirements into dependable solutions, taking end-to-end ownership and communicating progress, risks, and issues.
• Diagnose production issues and improve reliability, observability, and resilience while contributing to modernization and migration of existing data pipelines to BlackRock's enterprise data platform.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• At least 4 years of hands-on experience building and supporting enterprise data pipelines, platforms, or data-intensive applications.
• Strong Python development skills with experience in modular design, error handling, logging, automated testing, Git-based development, peer review, and continuous integration and continuous delivery practices.
• Advanced SQL and strong hands-on Snowflake experience, including complex transformations, schema design, semi-structured data, ELT patterns, query troubleshooting, and performance and cost optimization.
• Practical experience developing and troubleshooting data workflows, with a strong understanding of data warehousing and modeling concepts, including dimensional and historical data design.
• Strong analytical, problem-solving, communication, and collaboration skills, with the ability to diagnose complex data and production issues and take ownership in an agile, globally distributed environment.

Nice to have

• Experience with large-scale distributed data analytics engines and exposure to modern transformation, application programming interface (API), data-format, distributed event streaming and messaging, and Azure or Amazon Web Services (AWS) cloud technologies.
• Experience with reusable data-engineering capabilities, governance and lineage, cloud or legacy modernization, financial or alternative data, and secure AI-assisted software development.

Details

• Location: Mumbai, India.
• Job level: Associate.
• Hybrid work model: at least 4 days in the office per week, with the flexibility to work from home 1 day a week.