Data Engineer - Cloud, Spark & Databricks

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

Job summary

Publicis Groupe Holdings B.V in Chicago is seeking a Data Engineer to collaborate on AI/ML workflows and data engineering projects. Applicants should have a BA/BS in Computer Science or related fields, with over 3 years of experience in software development and familiarity with cloud platforms like AWS or Azure.

The role involves optimizing workflows using tools such as Spark and Hadoop, with a strong emphasis on problem-solving and collaboration. The position offers a base salary range of $73,500 - $136,500.

Qualifications

• 3+ years of software development experience in a scalable, distributed, or multi-node environment.
• Familiarity with big data technologies such as Apache Spark, Hadoop, and Hive.
• Experience working with cloud platforms and interest in migration projects.

Responsibilities

• Collaborate with decision scientists to optimize AI/ML workflows.
• Provide support for Spark, Hive, and Hadoop jobs.
• Participate in agile sprint cycles and delivery reviews.

Skills

Software development

Programming (Scala, Python, Java)

Cloud platforms (AWS, Azure, Databricks, GCP)

Apache Spark

Problem-solving skills

Collaboration

Education

BA/BS in Computer Science or related discipline

Tools

Hadoop

Docker

Kubernetes

Airflow

Job description

Publicis Groupe Holdings B.V in Chicago is seeking a Data Engineer to collaborate on AI/ML workflows and data engineering projects. Applicants should have a BA/BS in Computer Science or related fields, with over 3 years of experience in software development and familiarity with cloud platforms like AWS or Azure.

The role involves optimizing workflows using tools such as Spark and Hadoop, with a strong emphasis on problem-solving and collaboration. The position offers a base salary range of $73,500 - $136,500.