4+ years of experience in Data Engineering (mid/senior level)., Strong proficiency in Python for data pipelines and supporting services., Hands-on experience with DBT and ELT-based data modeling., Solid knowledge of Google BigQuery or comparable cloud data warehouses., Practical experience with Google Cloud Storage for data persistence and exchange., Experience with workflow orchestration tools such as Apache Airflow., Good understanding of scalable data architectures, data quality, and reliability concepts., Experience working in cloud-based environments (preferably GCP)., Experience with Kafka or other event streaming platforms., Familiarity with Google Dataflow for batch and streaming data processing., Experience with Docker and containerized workloads., Knowledge of Terraform and infrastructure as code., Exposure to Google Kubernetes Engine (GKE)., Experience supporting production systems with on-call tooling (e.g. PagerDuty).

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