7 days ago
Mumbai, IndiaMid Level
Responsibilities
- Design, develop, test, deploy, and maintain production-grade data pipelines and reusable ingestion and transformation components.
- Develop scalable data models and advanced SQL-based ELT transformations while optimizing performance, scalability, and cost.
- Build and operate directed acyclic graph-based workflow orchestration for data and batch processing.
- Implement automated data-quality checks, reconciliation, lineage, alerting, monitoring, and failure handling.
- Create modular, maintainable, well-tested solutions and reusable engineering frameworks and automation.
- Partner with product teams, data specialists, and data consumers to translate requirements into dependable solutions.
- Diagnose production issues and improve the reliability, observability, resilience, and maintainability of data products.
- Contribute to modernization and migration of existing data pipelines to BlackRock’s enterprise data platform.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience, with at least four years of hands-on experience building and supporting enterprise data pipelines, platforms, or data-intensive applications.
- Strong Python development skills, including modular design, error handling, logging, automated testing, Git-based development, peer review, and continuous integration and 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.
- Experience developing and troubleshooting data workflows and understanding data warehousing and modeling concepts, including dimensional and historical data design.
- Strong analytical, problem-solving, communication, collaboration, ownership, and production-issue diagnosis skills in an agile, globally distributed environment.
- Experience with large-scale distributed data analytics engines and exposure to modern transformation, API, data-format, distributed event-streaming and messaging, and Azure or AWS technologies.
- Experience with reusable data-engineering capabilities, governance and lineage, cloud or legacy modernization, financial or alternative data, and secure AI-assisted software development is beneficial.
Benefits
- Retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off.
- Hybrid work model in Mumbai requiring at least four days in the office per week, with flexibility to work from home one day per week; some business groups may require more office time.
About BlackRock
BlackRock is a public, New York–based global asset manager and technology provider founded in 1988. It offers investment products—including the iShares ETF franchise—and portfolio and risk management software via the Aladdin platform to institutions, financial advisors, and individual investors, earning primarily management and technology fees. Its shares trade on the NYSE, and the firm serves clients in major markets worldwide.