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Mission:
- Own hands-on implementation of pipelines, systems, and tooling that turn raw data into competitive advantage.
- Ensure data flows reliably, engineering teams move faster, and data products scale.
Outcomes:
- Optimize core pipelines and onboard new datasets for targeting capabilities.
- Adopt CI/CD practices and implement privacy-compliant methodologies.
Skills:
- Deep proficiency in Python, Spark, Airflow, and Apache Iceberg.
- Extensive AWS experience with EKS, Docker, and Kubernetes.
- Familiarity with Snowflake or ClickHouse, and ad tech identity/privacy methods.
Kargo
Kargo creates powerful moments of connection between brands and consumers to build businesses. With 600+ employees and offices across the US, UK, Australia, and Ireland, they take a creative science approach to deliver unique ad experiences across premium platforms.