Senior Data Engineer Location: Hybrid – Dearborn, MI Experience Level: 10+ Years Education: Bachelor’s Degree in Computer Science, Computer Information Systems, or equivalent experience (Master’s in Data Science preferred) Position Overview: We are seeking a highly experienced and innovative Senior Data Engineer to lead the design and implementation of advanced data solutions across cloud and on-premises environments. This role requires deep expertise in data architecture, cloud platforms (especially GCP), ETL pipelines, and modern data science practices. Key Responsibilities: • Design and implement scalable data solutions using the latest cloud and on-premises technologies. • Lead the migration of legacy data environments with a focus on performance, reliability, and minimal disruption. • Contribute to data architecture by assessing data sources, models, schemas, and workflows. • Design and optimize ETL jobs, data pipelines, and data workflows. • Develop and support BI solutions, including dynamic dashboards and reporting pipelines. • Architect and implement machine learning and AI applications, including MLOps pipelines. • Provide technical guidance on customization, integration, and enterprise architecture of data products. • Build and manage data lakehouse solutions in GCP, including relational and vector databases, data warehouses, and distributed systems. • Utilize PySpark APIs for processing resilient distributed datasets (RDDs) and data frames. Required Skills: • Proven experience designing data solutions in cloud and on-prem environments. • Strong background in legacy data migration and modernization. • Expertise in data architecture, ETL, and data pipeline design. • Proficiency in BI tools and data visualization strategies. • Experience with machine learning, AI, and MLOps practices. • Hands-on experience with GCP data services and lakehouse architecture. • Advanced knowledge of PySpark, RDDs, and data frames. Preferred Skills: • Scripting in Bash, Python, and Groovy. • Experience with VM-based application installation, performance monitoring, and log analysis on Unix systems. • PostgreSQL database administration. • REST API development using Python frameworks.