Data Platform Engineer: Spark, Cloud & AI/ML

Publicis Groupe; Chicago (IL); On-site; USD 73,500 - 136,500; Full time

Job summary

Publicis Groupe in Chicago is looking for a skilled software developer with expertise in data engineering to optimize AI/ML workflows. Candidates should have over 3 years of experience, proficiency in Scala, Python, or Java, and familiarity with cloud platforms such as AWS and Azure.

The role involves collaborating with decision scientists, providing Spark and Hadoop support, and participating in agile sprints. The competitive salary ranges from $73,500 to $136,500 with opportunities for growth and an inclusive work environment.

Qualifications

• 3+ years of software development experience in scalable environments.
• Proficiency in programming with Scala, Python, or Java.
• Experience with Apache Spark and cloud platforms.

Responsibilities

• Collaborate with teams to support AI/ML workflows and data engineering.
• Provide support for Spark, Hive, and Hadoop jobs.
• Participate in agile sprint cycles and contribute to application best practices.

Skills

Software development in a scalable environment

Programming with Scala, Python, or Java

Apache Spark

Cloud platforms (AWS, Azure, GCP)

Kubernetes

Docker

Airflow

Problem-solving skills

Collaborative teamwork

Education

BA/BS in Computer Science or related discipline

Tools

Hadoop certification

Spark certification

Job description

Publicis Groupe in Chicago is looking for a skilled software developer with expertise in data engineering to optimize AI/ML workflows. Candidates should have over 3 years of experience, proficiency in Scala, Python, or Java, and familiarity with cloud platforms such as AWS and Azure.

The role involves collaborating with decision scientists, providing Spark and Hadoop support, and participating in agile sprints. The competitive salary ranges from $73,500 to $136,500 with opportunities for growth and an inclusive work environment.