Data Engineer - GCP

Your responsibilities will include Design and implement event-driven architectures to ingest data from multiple sources (including Salesforce) into GCS and BigQuery. Develop and maintain sophisticated ETL/ELT workflows using Airflow, Dataflow, and Dataproc for massive datasets. Build and deploy advanced analytics tools, such as Gemini LLM-powered chatbots and RAG-based solutions on BigQuery. Bachelor's or Master's degree in Computer Science or a related field. 6-9 years in Cloud Engineering/Architecture with a focus on AWS & GCP. Expert-level proficiency in SQl and Python for data processing and automation. Proven track record in Data Modelling and managing large-scale enterprise data warehouses. TECHNICAL Deep expertise in AWS (S3, Redshift, Lambda) and GCP (BigQuery, GCS, Cloud Functions, Cloud Run, Vertex AI, Cloud SQL). Hands-on experience with Dataflow, Dataproc, and Apache Airflow. Knowledge of Gemini LLM, Vector Search, and RAG (Retrieval-Augmented Generation) frameworks. Experience gathering requirements for and executing third-party integrations (e.g., Salesforce images to GCP). MANAGERIAL Strong communication and Proven ability to manage external partners and contract deliverables. Strong focus on process improvement and maintaining strict service level agreements. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube. GTEC