Data Engineering Engineer 2

V2Soft Inc. • Dearborn, MI

26d

About The Position

Employees 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 opportunities

Requirements

• Spark
• SonarQube
• GCP Cloud Run
• Kubernetes
• GCP
• Google Cloud Platform
• Tekton
• Python
• API
• Jira
• Engineer 2 Exp: 4+ years Data Engineering work experience

Nice To Haves

• 5+ years of experience in the automotive industry, particularly in auto remarketing and sales.
• Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering).
• Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information.
• Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering.
• Demonstrated commitment to continuous learning and professional development.
• Familiarity with machine learning libraries, such as TensorFlow, PyTorch, or Scikit-learn
• Experience with MLOps tools and platforms.

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 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 1,001-5,000 employees