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BlackRock
Lead Data Engineer, Portfolio Management Group, Associate
BlackRock
Mumbai•Hybrid•5-8 Yrs•Jun 21
Job description
Hybrid
Overview
About Global Fixed Income Team
Responsibilities
- Lead the design, development, and optimisation of scalable data pipelines and data platforms for structured and unstructured data
- Own end-to-end data engineering solutions, including ingestion, transformation, orchestration, storage, and serving layers for analytics and AI use cases
- Architect robust data models, pipeline frameworks, and reusable components that improve reliability, scalability, and maintainability
- Drive best practices for data engineering, including coding standards, testing, observability, performance tuning, and release processes
- Mentor junior engineers and provide technical leadership across design reviews, debugging, and delivery of complex data initiatives
- Collaborate with AI engineers, application developers, product managers, and business stakeholders to translate requirements into production-grade data solutions
- Design and implement data quality controls, validation frameworks, and monitoring mechanisms to ensure trusted downstream consumption
- Optimise data platforms and workloads for cost, scalability, resilience, and performance across cloud-based environments
- Partner with cross-functional teams to shape data architecture decisions and support delivery of enterprise-scale data products
Qualifications
- Strong knowledge of Git, code reviews, CI/CD practices, and software engineering standards for maintainable delivery
- Leadership & Problem-Solving
- Strong architectural thinking, problem-solving ability, and the capability to lead technical decisions, mentor team members, and drive delivery across complex data initiatives
Education
- Bachelor's or Master's degree in Computer Science/Engineering or related field.
- 5+ years of relevant experience.
- Good understanding of the foundations of data engineering
- Strong expertise in Python and SQL with hands-on experience building enterprise-grade data engineering solutions
- Deep experience with cloud data platforms such as Snowflake and modern data pipeline or orchestration frameworks
- Strong understanding of data modelling, ETL/ELT design, pipeline optimisation, and large-scale data processing patterns