GenAI Data Engineer

Key Skills

Apache Hadoop, Databricks, ETL/ELT technologies, JavaScript, NoSQL, Python Programming, Scala Programming, Spark-SQL, SQL

Job Description

As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

The Generative AI Technology team at Point72 is a group of skilled professionals who are responsible for conceptualizing and developing, the firm's Generative AI efforts. The team works closely with business stakeholders, the Tech Innovation team, and development teams across Technology to deploy cutting-edge AI technology that has the ability to transform the firm’s operations.

What you’ll do

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, ensuring data quality and availability for various applications and requirements. You will work closely with other team members to design and implement data storage solutions and optimize data processing tasks.

Specifically, you will:

• Design, develop, and maintain scalable data pipelines and ETL processes to ingest, process, and store large volumes of structured and unstructured data
• Ensure data quality and integrity by implementing data validation, monitoring, and anomaly detection techniques
• Work with external teams to explore opportunities for innovation and develop corresponding bespoke data solutions
• Implement and optimize data storage solutions, using best practices for version control, data modeling, and continuous integration
• Continuously optimize and improve data pipelines based on performance testing and user feedback
• Conduct experiments and perform data analysis to evaluate pipeline performance and identify areas for improvement
• Develop and implement practical and measurable performance criteria for evaluating data pipeline performance
• Work with engineering and product teams to integrate data pipelines into applications and collaborate with other team members to identify and solve technical challenges and implement innovative solutions
• Keep up to date with the latest advancements in data engineering and bring new ideas to the team
• Write clear and concise technical documentation for data pipelines, storage solutions, and proof of concept use cases

What’s required

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field
• 4+ years of experience in data engineering, with a focus on building and maintaining data pipelines
• Strong knowledge of programming languages such as Java, Python, or Scala
• Experience with big data frameworks such as Hadoop, Spark, or Flink
• 4+ years of hands-on experience working with Python and/or SQL
• Hands-on experience working with Databricks
• Experience in working with relational and non-relational databases, such as SQL, NoSQL, and time-series databases
• Familiarity with data integration, data warehousing, and ETL tools
• Strong analytical and problem-solving skills, with the ability to design and implement complex data processing tasks
• Strong communication skills to explain technical concepts to non-technical stakeholders
• Curiosity and the ability to embrace uncertainty and be comfortable with failure while exploring with new ideas
• Commitment and adherence to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

Sports card

Private life insurance

Private medical and dental care, with vision allowance

Private pension scheme

Volunteer opportunities

Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community

Business travel accident insurance

Employee assistance program

Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent.

Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at Point72.com/Warsaw.