Sr. Python Developer ( w / Lead Experience) : Auburn Hills, MI, 48321 : : Contract on w2

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects

Key Responsibilities

• Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
• Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
• CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
• Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
• Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
• Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
• Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
• Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
• Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
• Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage.

Experience Required:

• Minimum of 7+ years overall IT experience; Hands-on Data Engineering
• Minimum 5+ yearsof practical experience building production-grade data pipelines using Python and PySpark
• Graduate degree in a related field, such as Computer Science or Data Analytics
• Familiarity with Test-Driven Development (TDD)
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools