Senior Data Engineer - Python, Spark & AWS

Next Frontier Capital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Data Engineer in Singapore to design and operate scalable data pipelines and architectures that support analytics and business goals. You’ll work in an agile team, focus on reliability, and deliver secure data solutions across multiple domains.

The role emphasizes Python, Spark, AWS services, and CI/CD, with emphasis on data accuracy and robust systems for large TB/PB-scale datasets.

Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• 5+ years in data engineering with hands-on coding.
• Experience with Python and Spark/PySpark in data pipelines.
• Knowledge of SDLC, CI/CD, security, and resilience.

Responsibilities

• Implement data solutions on cloud platforms (AWS) using S3, Glue, Lambda, and more.
• Build and maintain scalable data pipelines and architectures.
• Develop microservices and event-driven data workflows with APIs.
• Collaborate with partners to understand data usage and promote data accuracy.
• Follow Agile DevOps practices with CI/CD and Terraform-based infrastructure.

Skills

Python programming

Spark / PySpark

SQL

NoSQL databases

Data lakehouse / data warehouse

AWS

CI/CD

Terraform

Airflow

RESTful APIs

Education

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

Formal training or certification in data engineering

Tools

Databricks

Redshift

Snowflake

BigQuery

dbt

Glue

Trino

Job description

JPMorganChase is seeking a Data Engineer in Singapore to design and operate scalable data pipelines and architectures that support analytics and business goals. You’ll work in an agile team, focus on reliability, and deliver secure data solutions across multiple domains.

The role emphasizes Python, Spark, AWS services, and CI/CD, with emphasis on data accuracy and robust systems for large TB/PB-scale datasets.