GCP Data engineer

Key Responsibilities Pipeline Development: Design, develop, and maintain end-to-end ETL/ELT pipelines using Python and PySpark . Big Data Processing: Build large-scale data processing frameworks to handle structured and unstructured data, ensuring high performance and reliability. Cloud Infrastructure: Architect and manage data solutions within the GCP ecosystem , focusing on cost-efficiency and security. Data Modeling: Design and implement robust data warehouse models (Star/Snowflake schemas) …