Senior Data Engineer

What you'll do

• Build and scale data infrastructure powering targeting, identity, and measurement capabilities
• Implement and optimize ETL/ELT pipelines ensuring operational reliability with documented SLAs
• Onboard new datasets to power targeting capabilities and meet defined KPIs
• Adopt and maintain CI/CD practices to accelerate team velocity
• Implement privacy-compliant data methodologies meeting GDPR/CCPA standards
• Create thorough technical documentation including implementation docs and runbooks
• Take operational responsibility for systems including monitoring and iterative improvements
• Collaborate actively in design and brainstorming sessions
• Communicate technical decisions clearly to technical and non-technical stakeholders
• Write and maintain documentation that supports onboarding and knowledge sharing

Requirements

• Deep proficiency in Python and Spark for building and optimizing large-scale data pipelines
• Hands-on experience with Airflow for orchestrating complex data workflows
• Experience with Apache Iceberg for table format management at scale
• Extensive AWS experience including EKS, Docker, and Kubernetes
• CI/CD fluency with ArgoCD, automated testing pipelines, and monitoring via Prometheus
• Familiarity with analytical warehousing in Snowflake or ClickHouse including SQL optimization and cost management
• Working knowledge of identity, privacy, and targeting methodologies in ad tech
• Preferred experience with real-time streaming technologies such as Kafka and Flink
• Preferred familiarity with Aerospike or similar low-latency key-value stores

Tech stack