1 month ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build big data pipelines for ingestion, transformation, trend creation, and delivery of AI-ready data assets.
- Develop reusable software components, libraries, and APIs for experimentation and production deployment.
- Implement data quality, lineage, governance, auditability, and compliance controls.
- Build scalable, AI-native, cloud-based infrastructure using distributed systems and modern cloud technologies.
- Optimize system performance, cost, and reliability through benchmarking and continuous improvement.
- Explore emerging data and AI technologies, run proof of concepts, and convert successful ideas into business deliverables.
- Partner with investment, research, data science, and compliance teams to deliver production-ready data products and analytics.
- Provide hands-on technical leadership, influence architecture and team processes, and support engineers and stakeholders.
- Deploy LLM-based tools and build agentic workflows for business impact.
- Demonstrate strong project management, business intuition, collaboration, ethical standards, and a solution-oriented mindset.
Requirements
- At least 5 years of experience in data engineering, software engineering, or a related field.
- At least 2 years of strong hands-on Python development experience.
- Experience with system design and leading development efforts involving multiple contributors.
- Strong knowledge of distributed data processing frameworks such as Spark.
- Experience building scalable APIs, backend infrastructure, and software applications.
- Hands-on experience with cloud platforms and services for data storage and compute, such as AWS, Google Cloud Platform, or Azure.
- Experience with workflow orchestration technologies such as Airflow.
- Exposure to LangGraph, LangChain, embedding models, vector databases, or graph databases is preferred.
- Strong interest in current AI advancements and applying emerging techniques to real-world use cases.
- Demonstrated integrity, ownership, commerciality, humility, adaptability, strong work ethic, and domain knowledge.
- Commitment to the highest ethical standards.
Benefits
- Health care benefits.
- Maternity, adoption, and related leave policies.
- Generous paternity and family care leave policies.
- Employee Assistance Program and mental wellness programs.
- Transportation support.
- Tuition assistance.
Tech Stack
Categories
Data Engineering
About Point72
Point72 is a global alternative investment firm that deploys fundamental and systematic strategies across equities and other asset classes for institutional and qualified investors. The firm earns management and performance fees and also invests partner capital. Founded in 2014 by Steven A. Cohen and headquartered in Stamford, Connecticut, it operates a multi-manager platform with offices worldwide and a large in-house technology organization supporting research, trading, data, and risk.