Reference Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
JOB TITLE
Reference Data Engineer
A Career with point72s Cubist TEAM
Cubist Systematic Strategies an affiliate of Point72 deploys systematic computer-driven trading strategies across multiple liquid asset classes including equities futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies fueled by our unparalleled access to a wide range of publicly available data sources.
What youll do
- Develop test and maintain software applications Full Stack technologies.
- Write clean scalable and efficient code in Python for various applications.
- Collaborate with cross-functional teams to define design and ship new features.
- Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions.
- Participate in code reviews and contribute to a culture of continuous improvement.
- Troubleshoot and resolve software defects and issues in a timely manner.
- Stay up to date with emerging technologies and industry trends to enhance skills and knowledge.
Whats REQUIRED
We are looking for a motivated and skilled Software Engineer with experience Full Stack development Python and DevOps. You should also have:
- Bachelors or masters degree in computer science engineering statistics or a related field.
- 3 years of experience Full Stack development and Python programming.
- Basic understanding and practical experience with DevOps tools and methodologies.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and the ability to work collaboratively in a team environment.
- Eagerness to learn and adapt to new technologies and challenges.
- Commitment to the highest ethical standards.
About point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth. For more information .
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
We invest in Discretionary Long/Short, Macro, and Systematic strategies. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. Join our team to innovate, experiment, and be the best at what you do.
