GCP Data Engineer

Core Data Engineering Skills Big Data Technologies: Proficiency in using GCP's big data tools like: BigQuery: For data warehousing and SQL analytics. Dataproc: For running Spark and Hadoop clusters. Airflow: For pipeline Orchestration Dataflow: For stream and batch data processing.(High level Idea) Pub/Sub: For real-time messaging and event ingestion.(High level Idea) Data Modeling: Experience/Knowledge on designing scalable, efficient data models for OLAP and OLTP use cases. ETL/ELT Pipelines: Expertise in building automated, scalable, and reliable pipelines using custom Python/Scala solutions or Cloud Data Fusion.