GCP Data Engineer

Job Description We are responsible for designing, building, and maintaining data solutions, including data infrastructure and pipelines, for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately. Key Responsibilities • Collaborate with business and technology stakeholders to understand current and future data requirements. • Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis. • Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications, for efficient and reliable data workflows. • Design, implement, and maintain existing and future data platforms, including data warehouses, data lakes, and data lakehouses, for structured and unstructured data. • Design and develop analytical tools, algorithms, and programs to support data engineering activities, including writing scripts and automating tasks. • Ensure optimum performance and identify opportunities for improvement. • Perform data ingestion for all types of data, data wrangling, and transformations, and land data in BigQuery. • Work with stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Airflow. Skills Required • Data/Analytics, Data Warehousing, Data Modeling Skills Preferred • Google Cloud Platform (GCP) Experience Required • 4+ years of data engineering work experience • Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment. • Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity. • Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and the use of large language models (LLMs) to automate software development and business processes. • Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation. • Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs, is a plus. Experience Preferred • Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment. • Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity. Education Required • Bachelor's Degree Education Preferred • Master's Degree