SDET Sr Python Developer & Lead - Hybrid/Onsite

Req ID: 348454 

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 SDET Sr Python Developer & Lead - Hybrid/Onsite to join our team in Auburn Hills, Michigan (US-MI), United States (US).

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. 

Basic Qualifications:

Minimum 5+ years of practical experience for the below-mentioned points

• Hands-on Data Engineering: Minimum 5+ 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).
• 3+ years of experience Unix/Linux: Strong command-line skills** in Unix-like environments.
• 3+ 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 7+ 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

Travel:  None

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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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