Senior Data Engineer - Python, Spark & AWS Pipelines

JPMorgan Chase & Co.; Singapore; On-site; SGD 75,000 - 100,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a seasoned Data Engineer to join their International Consumer Bank team. The individual will design and deliver data solutions on AWS, develop data pipelines, and maintain architectures across various business functions.

The role requires a Bachelor’s degree and at least 5 years of experience in data engineering, along with expertise in Python, AWS, and large-scale data technologies. Strong collaboration skills and a commitment to timely data delivery are essential.

Qualifications

• Bachelor’s degree in a relevant discipline.
• 5+ years of experience in data engineering.
• Expertise in Python programming and hands-on experience with data processing technologies.

Responsibilities

• Implement data solutions on cloud platforms, preferably AWS.
• Collaborate with partners to enhance data usage understanding.
• Document and enforce requirements for data accuracy and timeliness.

Skills

Python programming

Data processing with Spark/PySpark

SQL

AWS cloud services

NoSQL databases

Infrastructure as Code (Terraform)

Data engineering concepts

Education

Bachelor’s degree in Computer Science, Engineering, or Information Systems

Tools

AWS (S3, EKS, Glue, Lambda, etc.)

Docker

Kubernetes

Job description

JPMorgan Chase & Co. is seeking a seasoned Data Engineer to join their International Consumer Bank team. The individual will design and deliver data solutions on AWS, develop data pipelines, and maintain architectures across various business functions.

The role requires a Bachelor’s degree and at least 5 years of experience in data engineering, along with expertise in Python, AWS, and large-scale data technologies. Strong collaboration skills and a commitment to timely data delivery are essential.