Python Engineer II - Currencies & Emerging Markets

JPMorganChase; Singapore; On-site; SGD 90,000 - 170,000; Full time

Job summary

JPMorgan Chase is hiring a Python and AWS Software Engineer II for the Corporate Investment Bank, Macro Data Analytics team. You will contribute to trusted, scalable data products and secure software delivery in an agile setting.

The role emphasizes end-to-end ownership from design through deployment, with a focus on data pipelines, AI-assisted development tools, and collaboration across diverse teams to meet business objectives.

Qualifications

• Bachelor's degree in Computer Science or equivalent.
• 2+ years of software development experience with data pipelines.
• Strong experience in Python and Spark (or Flink/Beam).
• Experience in AWS technologies (Glue, Kinesis, Redshift) or similar from other clouds.
• Strong problem-solving and collaboration skills.
• Proficient in SQL and relational databases.
• Hands-on with enterprise AI-assisted development tools and secure coding.

Responsibilities

• Develop data-driven business logic and transformations for curated datasets.
• Own the full software delivery lifecycle from requirements to deployment and support.
• Show initiative, work independently, and drive projects to completion.
• Analyze data trends and patterns to inform solutions.
• Write secure, high-quality code and participate in peer reviews.
• Utilize AI-assisted coding tools while validating outputs and maintaining security standards.
• Understand SDLC tools and enterprise AI capabilities to improve automation.

Skills

Python

Spark

Flink/Beam

SQL

AWS

AI-assisted tools

Secure coding

Education

Bachelor's degree in Computer Science or equivalent

Tools

AWS Glue

Kinesis

Redshift

CI/CD tools

Job description

JPMorgan Chase is hiring a Python and AWS Software Engineer II for the Corporate Investment Bank, Macro Data Analytics team. You will contribute to trusted, scalable data products and secure software delivery in an agile setting.

The role emphasizes end-to-end ownership from design through deployment, with a focus on data pipelines, AI-assisted development tools, and collaboration across diverse teams to meet business objectives.