Data Engineering Engineer 3//Dearborn, MI//W2

Data Engineering Engineer 3Location: 679 - Rotunda CenterLocation Address: 17000 Rotunda Drive, DEARBORN, MI, 481204 days onsite in Rotunda Court. -Position DescriptionEmployees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future data requirements 2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis 3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow 4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data 5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks 6) Ensure optimum performance and identify improvement opportunitiesSkills RequiredGitHub, Google Cloud Platform, Big Query, Python, Machine LearningSkills PreferredALGORITHMS, TensorFlow, Scikit-learn, Relational Databases, Data ModelExperience RequiredEngineer 3 Exp: 5+ years Data Engineering work experienceEducation RequiredMaster's DegreeEducation PreferredAdditional Safety Training/Licensing/Personal Protection Requirements:Additional Information4 days onsite in Rotunda Court. - 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 workflow - Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data - Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks - Ensure optimum performance and identify improvement opportunities