Epitec is seeking a Data Engineer /Architect to join our leading Automotive client's team. • Its a w2 Role , No C2C / 1099 Accepted • • Its a Hybrid role in Dearborn, MI , Candidate outside Michigan must relocate • • Its a mid- senior role, candidates less than 8+ years of experience will not be considered • • Candidates must have GCP Experience • Summary: This position is centered around designing and implementing modern data solutions, particularly in cloud environments like Google Cloud Platform (GCP). The role blends traditional data architecture with modern data engineering, analytics, and AI/ML capabilities. Core Responsibilities Cloud-Based Data Architecture • Design scalable, secure, and high-performance data solutions in cloud or hybrid environments. • Migrate legacy systems to modern architectures with a focus on performance and reliability. ETL and Data Pipelines • Build and optimize ETL jobs and data pipelines using tools like PySpark and Airflow. • Ensure data workflows are efficient and support downstream analytics and reporting. Data Lakehouse Engineering • Develop solutions using GCP-native services (e.g., BigQuery, Dataproc, Cloud Storage). • Work with both structured (relational) and unstructured (vector) data in lakehouse environments BI and Visualization • Design and support dashboards and reports using tools like Power BI or Tableau. • Set up data pipelines that feed into these visualizations. AI/ML and MLOps • Collaborate with data scientists to build and deploy machine learning models. • Design MLOps pipelines for scalable and repeatable model training and deployment. Technical Support and Integration • Address technical inquiries related to integration, customization, and enterprise architecture. • Provide guidance on best practices and tool usage. Required Skills • Strong experience with PySpark, especially using RDDs and DataFrames. • Deep understanding of data modeling, schema design, and data governance. • Hands-on experience with GCP services and building data lakehouse solutions. • Proficiency in scripting (Python, Bash, Groovy). • Familiarity with PostgreSQL and REST API development. • Experience with Unix-based systems and application monitoring. Experience Level • 10+ years of experience in data engineering, architecture, or related fields.