Senior Compute Platform Engineer (Spark/Scala)

Zeta Global

New York, San Francisco (NY, CA)

Sur place

GBP 100 000 - 112 000

Plein temps

14 jours+

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Résumé du poste

Zeta Global in the United Kingdom is seeking a Senior Compute Platform Engineer for the Data Platform team. You will help build and run the data infrastructure powering Zeta's platform, including the lakehouse framework and Spark-based batch jobs.

The role requires 7+ years of software engineering, strong Scala/Spark experience, and familiarity with AWS services. You will mentor peers, improve performance, and contribute to open-source patches.

Qualifications

  • 7+ years of software engineering experience.
  • A degree in Computer Science, Software Engineering, Physics, Math, or a related field.
  • 2+ years of experience with Scala or other JVM-based languages.
  • Experience with Spark and/or other large-scale data-processing frameworks.
  • Experience with Kubernetes is a plus.
  • Basic knowledge of Amazon Web Services (EC2, S3, Athena, etc.).
  • Interest in back-end technologies, architecture, and learning new things.

Responsabilités

  • Operate and implement new features in the data platform framework and services.
  • Collaborate with data scientists to improve usage and productivity of the framework.
  • Identify and implement computational improvements.
  • Contribute patches to open-source projects in our stack (e.g., Spark, Iceberg, Hadoop, Airflow).
  • Mentor engineers and promote quality, reliability, and best practices across the team.

Connaissances

Scala
Spark
Kubernetes
AWS
Analytical thinking

Formation

Bachelor's degree in Computer Science / Software Engineering

Outils

Spark
Iceberg
Hadoop
Airflow
EC2
S3
Athena

Description du poste

Zeta Global in the United Kingdom is seeking a Senior Compute Platform Engineer for the Data Platform team. You will help build and run the data infrastructure powering Zeta's platform, including the lakehouse framework and Spark-based batch jobs.

The role requires 7+ years of software engineering, strong Scala/Spark experience, and familiarity with AWS services. You will mentor peers, improve performance, and contribute to open-source patches.

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