Data Engineering, Investments, Associate

MU8-South (A) Wing, 7-10 Floor, Nesco IT Park Tower 4, Western Express Highway, Mumbai, India

BlackRock

BlackRock is the world's largest investment manager helping individuals and financial professionals build a better financial future. Read more.

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About this role

About This Role

Data Strategy & Solutions (DS&S) is accelerating the future of investment research at BlackRock with alternative data, insights, and emerging technology. We're a team of skilled Data Engineers, Content & DataOps Specialists who are dedicated to craft data-driven investment solutions.

DS&S seeks an experienced, high-reaching and passionate Associate to collaborate closely with investment and technology teams to develop and manage data products derived from web-harvested and unstructured sources, drive research efficiency and enable data-driven insights. This role offers a unique opportunity to contribute to the design and execution of data operations, with a clear trajectory toward leadership. 

You should be

  • Someone who is passionate about solving sophisticated business problems through data!
  • Someone who can build and manage production-grade data pipelines for large-scale unstructured and web-harvested data and is capable of operating data products end-to-end, from raw acquisition through to quality control, delivery, and issue resolution.
  • Enthusiastic about establishing and maintaining standard methodologies for data engineering, focusing on data quality, security, and scalability.
  • Curious and stays up to date with the latest data management trends and technologies to enhance internal processes and tools Enthusiastic about collaboration with researchers, technologists, and portfolio managers to ensure data products are well-aligned with investment needs.
  • Looking forward to contributing to technical roadmap and team development, with an eye toward growing into a leadership role within 2–3 years.

What We’re Looking For

  • 3+ years of experience in data engineering or data product operations
  • Proficiency in Python and SQL, especially in Snowflake and BigQuery
  • Experience with web scraping frameworks and data governance
  • Someone capable of working with unstructured or alternative data sources
  • Competence in deploying solutions on Google Cloud Platform (GCP), particularly BigQuery and Cloud Functions along with experience with Snowflake for data modeling and performance tuning.
  • Knowledge of frontend/ backend development (React, APIs, Python Flask or FastAPI, databases, cloud technologies) is a plus
  • Skills in ETL/ELT pipeline development and automated workflows
  • Strong problem-solving skills and attention to detail.
  • Expertise in anomaly detection, data drift, or schema changes
  • Perspective of treating datasets as products. Lay SLAs, roadmaps, and metrics that can derive change
  • Project management experience using Agile, Kanban, or similar methodologies
  • Excellent documentation skills for technical specs, runbooks, and SOPs
  • Effective communication skills for collaboration between data engineering and business teams
  • Leadership readiness, demonstrated through mentoring, roadmap planning, and team coordination.

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

BlackRock’s 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 children’s 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. It’s why we’re 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 | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile APIs BigQuery Data governance Data management DataOps Data pipelines Data quality Data strategy ELT Engineering ETL FastAPI Finance Flask GCP Google Cloud Kanban Pipelines Python React Research Security Snowflake SQL

Perks/benefits: Career development Flex hours Flex vacation

Region: Asia/Pacific
Country: India

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