Senior Python Lead and Developer - Onsite
Company: NTT Data
Location: Auburn Hills
Posted on: February 6, 2026
|
|
|
Job Description:
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. 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. Basic Qualifications: • Minimum 8-10 years of
practical experience for the below-mentioned points • Hands-on Data
Engineering: • Minimum 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 (commits, branching,
merging, GitHub/GitLab workflows). • 5 years of experience
Unix/Linux: Strong command-line skills in Unix-like environments. •
5 years of experience 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. Education : • 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:
Crosstrain 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 Nice to Have: • A high tolerance for
OpenShift, 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 infrastructure providers, with unmatched
capabilities in enterprise-scale AI, cloud, security, connectivity,
data centers and application services. Our consulting and industry
solutions help organizations and society move confidently and
sustainably into the digital future. As a Global Top Employer, we
have experts in more than 50 countries. We also offer clients
access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group,
which invests over $3 billion each year in R&D.
Keywords: NTT Data, Royal Oak , Senior Python Lead and Developer - Onsite, IT / Software / Systems , Auburn Hills, Michigan
