Senior Python Lead and Developer - Onsite

Senior Python Lead and Developer - Onsite

Location: Auburn Hills, MI, US

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.

We are currently seeking a Senior Python Lead and Developer - Onsite to join our team in Auburn Hills
, Michigan (US-MI),
United States (US).

The Senior Data Engineer & Technical 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. This will be a Technical Lead who can design (architect), develop, and lead a team.

• Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
• Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
• Architect and implement CI/CD pipelines for data engineering projects using Git Hub, Docker, and cloud‑native solutions.
• Apply test‑driven development (TDD) practices and automate unit/integration tests for data pipelines.
• Implement secure coding best practices and design patterns throughout the development lifecycle.
• Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
• Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
• Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
• Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.

Minimum 8‑10 years of practical experience for the below‑mentioned points

• 8+ years of practical experience building production‑grade data pipelines using Python and PySpark.
• Airflow expertise:
  Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
• CI/CD for data projects:
  Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment.
• Cloud & containers:
  Experience with containerization (Docker) and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve‑factor design principles.
• Python fluency:
  Ability to write object‑oriented Python code, manage dependencies, and follow industry best practices.
• Version control:
  Proficiency with Git for source code management and collaboration, including branching and merging workflows.
• 5+ years of experience in Unix/Linux:
  Strong command‑line skills in Unix‑like environments.
• 5+ years of experience with SQL:
  Solid understanding of SQL for data ingestion and analysis.
• Collaborative development:
  Comfortable with code reviews, pair programming, and using remote collaboration tools effectively.
• Engineering mindset:
  Writes code with an eye for maintainability and testability; excited to build production‑grade software.

Bachelor’s or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

Graduate degree in a related field, such as Computer Science or Data Analytics.

Familiarity with Test‑Driven Development (TDD).

Cross‑Team Knowledge Sharing: Cross‑train team members outside the project team (e.g., operations support) for full knowledge coverage. Includes all above key responsibilities and skills, plus the following.

• Minimum of 10+ years overall IT experience.
• Experienced in waterfall, iterative, and agile methodologies.

• High tolerance for Open Shift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools.

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital…