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# Software Engineer

- **Company:** Publicis Groupe
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Information Engineering, Apache Hadoop, Apache Hive, Python (Programming Language), Software Engineering, Apache Spark, Kubernetes, Information Technology, Data Analytics, Cloud Migration, Docker, Databricks
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=81752facbba9d16c

## About the Role

* 3+ years of software development experience in a scalable, distributed, or multi-node environment.
 * Proficient in programming with Scala, Python, or Java; comfortable building data-driven solutions at scale.
 * Familiarity with Apache Spark and exposure to Hadoop, Hive, or related big data technologies.
 * Experience with cloud platforms (AWS, Azure, Databricks or GCP) and an interest in cloud migration projects.
 * Excited to learn and work with the Databricks platform.
 * Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow (a plus).
 * Strong problem-solving skills with the ability to own problems end-to-end and deliver results.
 * Consultative attitude - comfortable being "first in," building relationships, communicating broadly, and tackling challenges head-on.
 * Collaborative teammate with an eagerness to learn from peers and mentors while contributing to a culture of growth.
 * Motivated to grow your career within a dynamic, innovative company.

What you'll bring:

 * BA/BS in Computer Science or related discipline.
 * At least 3 years of experience.
 * Hadoop certification is a plus.
 * Spark certification is a plus.

## Description

* Provide support for Spark, Hive, and Hadoop jobs, including troubleshooting and performance analysis and optimization.
 * Participate in agile sprint cycles, helping to review designs, provide feedback, and ensure successful delivery.
 * Contribute to best practices for application development.
 * Gather requirements for platform and application enhancements and work with the team to implement them.
 * Continuously learn and expand your technical skills in data engineering and cloud technologies.
 * Support the migration of existing data or applications to cloud platforms (AWS, Azure, Databricks or GCP)
 * Learn and contribute to solutions on the Databricks platform, enabling data science and analytics at scale.


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