Data Engineering, Investments, Analyst

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. DS&S seeks a data engineer who is high-reaching and passionate about extraction and processing of unstructured web extracted data.

In this role, the candidate will collaborate with experienced engineers and teams to build and maintain data pipelines, develop internal web/data extraction tools and create dashboards to support investment decision-making.  This is a great opportunity for someone eager to grow within a fast-paced, innovative environment while working on impactful projects.

You should be

  • Someone who is passionate about solving sophisticated business problems through data!
  • A developer building large scale scraping and extraction pipelines
  • Excited to orchestrate workflows and manage deployment within GCP and Snowflake.
  • Assisting with monitoring, quality assurance, and maintenance of data extraction systems.
  • Enthusiastic to collaborate with global teams to validate and prototype new datasets, rapidly iterating toward usable formats for portfolio research.
  • Always eager to contribute to internal tooling or dashboards that improve dataset accessibility and audibility.
     

What We’re Looking For

  • 2–4 years of experience in data engineering, data extraction, web scraping, or unstructured data processing.
  • Strong proficiency in Python, Pandas/NumPy, Regex & Text Processing, Shell scripting/Bash.
  • Familiarity with web scraping tools or Beautiful Soup and data governance.
  • Knowledge of frontend/ backend development (React, APIs, Python Flask or FastAPI, databases, cloud technologies) is a plus.
  • 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
  • Experience working in a fast-paced environment with evolving priorities
  • Effective communication and an ability to collaborate across technical and non-technical teams.
  • Data product lifecycle management from acquisition to QC and delivery is a plus.
  • Strong problem-solving skills with attention to detail and a proactive approach

#EarlyCareers

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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Tags: APIs BigQuery Data governance Data pipelines Data strategy Engineering FastAPI Finance Flask GCP Google Cloud NumPy Pandas Pipelines Python React Research Shell scripting Snowflake Unstructured data

Perks/benefits: Career development Flex hours Flex vacation

Region: Asia/Pacific
Country: India

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