GCP Data Engineer

Stefanini Group•Dearborn, MI

7d•Onsite

About The Position

Stefanini Group is hiring a GCP Data Engineer in Dearborn, MI. This role is 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. The ideal candidate will collaborate with stakeholders to understand data requirements, design and build scalable data infrastructure and solutions, and ensure optimal performance. This role involves working with various data platforms and tools, including BigQuery, stored procedures, triggers, data modeling, QlikView, Cloud Functions, Data Fusion, Astronomer, and Airflow.

Requirements

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.
Data/Analytics
Data Warehousing
Data Modeling

Nice To Haves

Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs, is a plus.
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.

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.