Core Java Spark Engineer – Data Platform on AWS

Ampcus Inc

Chicago (IL)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

Ampcus Inc. is seeking a Software Engineer for Core Java development in Chicago, IL. The role focuses on building and maintaining Spark-based applications with Java, collaborating with analysts and senior engineers to translate requirements into scalable solutions.

The candidate will work with Spark ecosystem components, help optimize performance for large data workloads, and contribute to a culture of diversity and inclusion while supporting production systems.

Qualifications

  • Formal training or certification on software engineering concepts and 3 years' applied experience.
  • Experience in Data Engineering domain.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Proficient in coding in one or more languages including Java.
  • Experience developing, debugging, and maintaining code in a corporate environment with Java, Spark Framework, and SQL.
  • Knowledge of Software Development Life Cycle and Agile development.

Responsibilities

  • Develop and maintain applications using Apache Spark and Java.
  • Collaborate with business analysts and lead engineers to implement software solutions.
  • Improve performance of Spark applications processing large data volumes.
  • Provide production support and troubleshoot Spark issues.
  • Contribute to communities of practice and events exploring new technologies.

Skills

Java/Spring Boot
AWS
Spark

Tools

Kubernetes
CI/CD pipeline
Python

Job description

Ampcus Inc. is seeking a Software Engineer for Core Java development in Chicago, IL. The role focuses on building and maintaining Spark-based applications with Java, collaborating with analysts and senior engineers to translate requirements into scalable solutions.

The candidate will work with Spark ecosystem components, help optimize performance for large data workloads, and contribute to a culture of diversity and inclusion while supporting production systems.

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