Job Summary: We are looking for a highly skilled and motivated GCP Data Engineer to join our team immediately. This is a remote opportunity to support a key client in the retail industry. The ideal candidate will have hands-on experience in Google Cloud Platform (GCP), Azure Data bricks, and DBT (Data Build Tool). You will work with large-scale structured and unstructured datasets, including retail offline (store sales) and online (e-commerce) data, as well as PII-sensitive information. Key Responsibilities: • Design, build, and maintain scalable data pipelines on GCP. • Work with Azure Data bricks to support data processing and ML workflows. • Build and manage DBT models for data transformation, quality checks, and reporting. • Handle structured and unstructured data using modern cloud data stack technologies. • Implement secure coding practices and ensure compliance with data privacy standards (PII handling). • Collaborate with data scientists to product ionize machine learning models. • Integrate and analyze data from various retail sources (in-store POS and e-commerce platforms). • Monitor and optimize data workflows for performance, scalability, and cost efficiency. • Work closely with cross-functional teams to deliver robust and reliable data solutions. Requirements Required Skills & Qualifications: • 5+ years of experience in data engineering or related roles. • Strong expertise in Google Cloud Platform (GCP) data services (BigQuery, Data flow, Pub/Sub, Cloud Functions). • Experience working with Azure Data bricks for data processing. • Hands-on experience with DBT (Data Build Tool) in production environments. • Proficiency in Python and SQL for data processing and ETL pipelines. • Experience with data orchestration tools (Airflow, Cloud Composer). • Knowledge of secure coding practices and handling PII data. • Experience working with unstructured data (logs, media, text, etc.). • Understanding of retail datasets (offline and online channels). • Familiarity with data science concepts and supporting ML model product ionization. • Excellent communication and collaboration skills Benefits Preferred Qualifications: • Experience working with international clients, especially Australian clients. • GCP Professional Data Engineer certification is a plus. • Familiarity with BigQuery, Data flow, Pub/Sub, Cloud Functions, etc. • Knowledge of Airflow/Cloud Composer for workflow orchestration.