Tech Stack

Description

You will build and scale the data infrastructure that powers targeting, identity, and measurement capabilities. You'll own hands-on implementation of pipelines, systems, and tooling, ensuring reliable data flow and enabling faster engineering velocity.

Requirements

• Deep proficiency in Python and Spark for large-scale data pipelines
• Hands-on experience with Airflow and Apache Iceberg
• Extensive AWS experience including EKS, Docker, and Kubernetes
• CI/CD fluency with ArgoCD, automated testing, and monitoring via Prometheus
• Working knowledge of ad tech identity, privacy, and targeting methodologies

Responsibilities

• Optimize core ETL/ELT pipelines for operational reliability and documented SLAs
• Onboard new data sources end-to-end for targeting and measurement use cases
• Adopt CI/CD practices (ArgoCD) to accelerate team deployment velocity
• Implement privacy-compliant data methodologies (GDPR/CCPA) into the stack
• Produce thorough technical documentation and runbooks