Hands-on experience in data engineering on cloud platforms (GCP preferred), with focus on cost and performance optimization Adept at clearly communicating technical concepts to engineers and cross-functional stakeholders Expert in SQL and Python, with deep experience in data modeling, optimization, and reusable frameworks Proven track record with modern data stack: orchestration (Airflow), transformation (dbt), streaming (Beam/Spark), and data processing (Dataflow) Experienced in data platform operations: containerization (Docker/Kubernetes), CI/CD pipelines, and data governance Familiar with modern data paradigms such as lakehouse architectures, event-driven systems, and AI-centric data tooling Good to have: Understanding of infrastructure-as-code (Terraform) and backend service development (Go)