SDE 2
Core
Building a self-serve Data Platform-as-a-Product enabling scalable, reliable, and easy-to-use data infrastructure across batch and streaming workloads.
Role type
Senior Data Platform Engineer
Builds
Scalable data pipelines, integrations, and monitoring systems for data infrastructure
Domain
Advertising technology / Data Engineering
Deliverable
infrastructure
Required skills
Python, SQL, Spark (PySpark/Scala), Airflow, Kubernetes, Cloud platforms (GCP/AWS/Azure), Data modeling, Query optimization
Preferred skills
Flink, Iceberg/Delta/Hudi, Kafka, CI/CD, Terraform/Helm, DBT, Prometheus/Grafana
Technologies
Spark, Flink, Airflow, Iceberg, Kubernetes, GCP, AWS, Azure, Python, Scala, Kafka, DBT, Prometheus, Grafana, OpenMetadata, DataHub
Responsibilities
Build and maintain scalable data pipelines (batch & streaming), Develop integrations across Airflow, Iceberg, and cloud platforms, Apply best practices in data modeling, partitioning, and query optimization, Support Kubernetes-based data platform workloads and troubleshoot issues, Optimize pipelines for performance, cost, and reliability, Implement monitoring, logging, and data quality checks
Seniority
Mid-level (3–6 years experience), hands-on IC
