Data Engineer, Aladdin Data, Associate

About this job

Locations: Mumbai, India

Data Engineer, Aladdin Data, Associate

Location: Mumbai, India

Job level: Associate

Your team

The Alternative Data Pipeline Engineering team supports Aladdin, BlackRock's investment management and technology platform, by building and operating reliable data products that acquire, transform, model, and distribute diverse datasets for investment, analytics, and platform use cases. The team partners across engineering, product, data specialists, and data consumers, with a focus on making high-quality data reliably and efficiently available.

Your role and impact

As a Data Engineer, you will build and support enterprise data pipelines and data platforms that enable scalable processing of structured and semi-structured data. You will apply strong Python and Structured Query Language (SQL) skills and work with Snowflake and modern data engineering technologies to deliver solutions from requirements and technical design through implementation, deployment, and production support. Your work will improve the quality, observability, reliability, and maintainability of production data products while simplifying how new datasets are onboarded and processed.

Your responsibilities

In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:

• 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.

Your experience

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience, with 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, combined 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.
• Experience with large-scale distributed…