Languages: Kotlin, Java, Python, or equivalent JVM/backend language Frameworks: Spring Boot, gRPC, REST API design Data: BigQuery, PostgreSQL, Redis, Bigtable, Kafka or Pub/Sub Infrastructure: GCP (or equivalent), Docker, Kubernetes, CI/CD pipelines Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning. Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML.