at BlackRock
Asset ManagementPosted 5 days ago
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**Senior Data Engineer (Vice President)** sought for designing, building, and managing scalable data platforms. Key responsibilities include data modeling, ETL/ELT pipeline development, stakeholder collaboration, data quality enforcement, and performance optimization in Snowflake and cloud environments. Ideal candidate will have 6+ years of Python experience, ETL pipeline expertise, and understanding of AI-based development tools, with a focus on data privacy and governance. Experience with AWS, Azure, or GCP, DevOps practices, and workload optimization is preferred.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
Job description
About this role
Role Overview
We are looking for an experienced Data Engineer to design, build, and own scalable data platforms that support analytical and modeling workloads. This role focuses on building reliable, highquality data infrastructure optimized for Snowflake and cloud environments, while partnering closely with business and technical stakeholders.
Key Responsibilities
- Design, build, and own scalable data models and data infrastructure optimized for Snowflake
- Develop and maintain reliable ETL/ELT pipelines to ingest, transform, and curate largescale datasets
- Collaborate with subject matter experts, analysts, and modelers to translate requirements into efficient data designs
- Implement data quality checks, validation rules, and monitoring frameworks to ensure data reliability
- Optimize data workloads for performance, scalability, and cost efficiency
- Use AIassisted engineering tools to improve development speed, code quality, and documentation, following appropriate governance and controls
- Standardize deployment processes and ensure production readiness, reliability, and SLA adherence
- Contribute to best practices for data engineering, security, and operational excellence
Required Skills and Experience
- Strong handson experience with Python, with 6+ years of professional development experience
- Proven experience building ETL pipelines, data curation frameworks, and analytical workloads on distributed systems
- Experience designing and implementing largescale data ingestion pipelines using industrystandard tools
- Solid understanding of database internals, performance optimization, and data modeling concepts
- Experience using AIbased development tools (such as coding assistants) for development, troubleshooting, and documentation, with a strong understanding of data privacy, intellectual property, and responsible AI use
Preferred Qualifications
- Experience working in cloud environments such as AWS, Azure, or GCP
- Exposure to DevOps practices, CI/CD pipelines, and production support models
- Experience optimizing workloads for cloud cost and performance
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock (opens in new window) | Twitter: @blackrock (opens in new window) | LinkedIn: www.linkedin.com/company/blackrock (opens in new window)
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
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