Senior Data Engineer Technical Lead

Oakland, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Hope you are doing great!!

Please check the below JD and reply with your updated resume.

Job Role: Senior Data Engineer / Technical Lead

Location : Auburn Hills MI (Onsite)

Type: Fulltime role

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

1. Data Engineering: Design develop and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.

2. Workflow Orchestration: Build schedule and monitor complex workflows using Airflow ensuring reliability and maintainability.

3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub Docker and cloud-native solutions.

4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.

5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.

6. Collaboration: Work closely with Data Architects QA teams and business stakeholders to translate requirements into technical solutions.

7. Documentation: Create and maintain technical documentation including process/data flow diagrams and system design artifacts.

8. Mentorship: Lead and mentor junior engineers providing guidance on coding testing and deployment best practices.

9. 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 all above skills plus the following;

Minimum of 7 years overall IT experience

Experienced in waterfall iterative and agile methodologies

Technical Experience:

1. Hands-on Data Engineering : Minimum 5 yearsof practical experience building production-grade data pipelines using Python and PySpark.

2. Airflow Expertise: Proven track record of designing deploying and managing Airflow DAGs in enterprise environments.

3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelinesfor data engineering workflows including automated testing and deployment**.

4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles

5. Python Fluency : Ability to write object-oriented Python code manage dependencies and follow industry best practices

6. Version Control: Proficiency with **Git** for source code management and collaboration (commits branching merging GitHub/GitLab workflows).

7. Unix/Linux: Strong command-line skills** in Unix-like environments.

8. SQL : Solid understanding of SQL for data ingestion and analysis.

9. Collaborative Development : Comfortable with code reviews pair programming and usingremote collaboration tools effectively.

10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software

11. Education: Bachelors or graduate degree in Computer Science Data Analytics or related field or equivalent work ex

Hi Hope you are doing great!! Please check the below JD and reply with your updated resume. Job Role: Senior Data Engineer / Technical Lead Location : Auburn Hills MI (Onsite) Type: Fulltime role The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in deliverin...