Job Information
BlackRock Vice President, Data Engineering in Gurgaon, India
About this role
Job Purpose/Background:
Data Strategy & Solutions is looking for a dynamic individual to join their team. The primary job responsibilities include:
Lead the design and implementation of scalable data pipelines for processing and analyzing unstructured data from diverse sources, including web scraping, PDF extraction, and text parsing working closely with Insights & Data Products function leads.
Architect and build data pipelines for products based on Large Language Models (LLMs), leveraging advanced natural language processing (NLP) algorithms for investment research and alpha generation.
Collaborate with internal data and software teams to blend the best of open-source, third-party, and internal architecture, ensuring optimal performance and reliability.
Manage stakeholders' expectations, communicate technical concepts effectively, and align data engineering initiatives with business objectives.
Define and lead the data engineering technology vision for the team, including the implementation of Gen AI techniques and setting best practices for data engineering and data science.
Provide technical guidance and mentorship to junior data engineers and data scientists, fostering a culture of continuous learning and innovation.
Stay abreast of industry trends, emerging technologies, and best practices in data engineering and data science, and incorporate them into our technical roadmap.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Strong understanding of web scraping techniques, PDF parsing, and natural language processing (NLP) algorithms.
Hands-on experience with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer).
Proven track record of stakeholder management, collaborating with cross-functional teams, and aligning technical initiatives with business objectives.
Strategic mindset with the ability to translate business requirements into technical solutions and drive innovation in data-driven products.
Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
Ability to lead and mentor junior talent, setting high standards for technical excellence and fostering a collaborative and inclusive work environment.
Desirable Skills
Extensive experience as a Data Engineer, with a focus on designing and building data pipelines for both unstructured data and NLP or Large Language Models (LLMs).
Proficiency in programming languages such as Python, with expertise in data processing technology stack (e.g. Postgres, Mongo DB, Redis, Vector DB , Big Query etc.) and machine learning frameworks (e.g., TensorFlow, PyTorch).
Working knowledge of building and deploying distributed systems and scaling algorithms for ETL on structured and unstructured data
Passion for engineering data centric performant systems with experience in Cloud Native platforms
Experience working in a multi-disciplinary environment
Curiosity to design, evaluate and implement data architecture for AI applications
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 (http://careers.blackrock.com/) | Twitter: @blackrock (https://twitter.com/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.