Data Platform Engineer: Spark, Cloud & AI/ML

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

Job summary

Publicis Groupe ANZ in Chicago, Illinois, is seeking a data engineer to optimize AI/ML workflows and support data applications migration to the cloud. You'll collaborate on best practices, troubleshoot Spark and Hadoop jobs, and participate in agile cycles.

The role requires 3+ years of experience with a focus on Scala, Python, or Java, along with a bachelor's degree. Exciting cloud technologies and a culture of learning are emphasized.

Qualifications

• 3+ years of software development experience in a scalable, distributed, or multi-node environment.
• Familiarity with big data technologies like Apache Spark, Hive.
• Experience with cloud migration projects.

Responsibilities

• Collaborate with decision scientists to optimize AI/ML workflows.
• Support Spark, Hive, and Hadoop jobs.
• Participate in agile sprint cycles and feedback.

Skills

Scala

Python

Java

Apache Spark

Hadoop

Cloud platforms (AWS, Azure, Databricks, GCP)

Kubernetes

Docker

Airflow

Problem-solving skills

Education

BA/BS in Computer Science or related discipline

Job description

Publicis Groupe ANZ in Chicago, Illinois, is seeking a data engineer to optimize AI/ML workflows and support data applications migration to the cloud. You'll collaborate on best practices, troubleshoot Spark and Hadoop jobs, and participate in agile cycles.

The role requires 3+ years of experience with a focus on Scala, Python, or Java, along with a bachelor's degree. Exciting cloud technologies and a culture of learning are emphasized.