Taro Logo

Data Engineer

Point72 is a leading global alternative investment firm led by Steven A. Cohen, seeking to deliver superior returns through fundamental and systematic investing strategies across asset classes.
Data
Mid-Level Software Engineer
In-Person
1,000 - 5,000 Employees
3+ years of experience
Finance

Job Description

Point72, a leading global alternative investment firm, is seeking a Data Engineer to join their Technology Infrastructure team in Bengaluru. This role offers an exciting opportunity to work at the intersection of finance and technology, where you'll be instrumental in designing and maintaining data pipelines that power the firm's investment strategies.

The position requires a skilled professional with 3-6 years of experience in data engineering, preferably within financial services. You'll be working with cutting-edge technologies including Databricks, Spark, and cloud platforms (Azure/AWS) to build and optimize data pipelines that handle large volumes of both structured and unstructured data.

As a Data Engineer at Point72, you'll be part of a team that's reimagining the future of investing through technology. The role involves close collaboration with data scientists and investment analysts, implementing data governance best practices, and continuously evaluating new tools and technologies to improve data engineering capabilities.

The ideal candidate should have a strong technical foundation with a Bachelor's or Master's degree in computer science or engineering, expertise in Databricks ecosystem, and proficiency in building scalable, distributed data pipelines. You'll need to demonstrate strong collaborative skills and the ability to work effectively in a fast-paced environment.

Point72 offers a dynamic work environment where you'll be at the forefront of financial technology innovation. The firm has a strong commitment to professional development and cultivates an investor-led culture focused on long-term growth. This role presents an excellent opportunity for someone looking to make a significant impact in a leading investment firm while working with advanced data technologies.

Last updated 25 days ago

Responsibilities For Data Engineer

  • Design, develop, and maintain robust data pipelines and ETL workflows in Databricks
  • Collaborate with data scientists and investment analysts to understand data needs and deliver scalable data pipelines
  • Ingest, process, and normalize large volumes of structured and unstructured data
  • Optimize performance of data pipelines and ensure high availability
  • Implement data governance best practices
  • Support integration of third-party data vendors and APIs
  • Evaluate and implement new tools and technologies

Requirements For Data Engineer

Python
  • Bachelor's or Master's degree in computer science, engineering
  • 3-6 years of professional experience in data engineering
  • Expertise in Databricks, including Spark (PySpark or Scala), Delta Lake
  • Proficiency in building scalable, distributed data pipelines in cloud environment (Azure or AWS)
  • Solid understanding of data architecture principles
  • Experience with version control, CI/CD workflows, and data orchestration tools
  • Demonstrated ability to work collaboratively in fast-paced environment
  • Commitment to the highest ethical standards

Related Jobs