Data Processing Engineer
Location: Monterrey, Mexico
Time Type: Full time
Job Description
Cloud Engineer, Data Processing
Your Role:
As a Cloud Engineer on the Data Processing team, you will contribute to development of Aptiv’s cloud-based data processing infrastructure for automotive datalogger data. This includes systems for data ingest, ETL pipelines, real-time and batch processing, and analytics. You’ll work with technologies such as Kubernetes, Python, Go, MySQL, MongoDB, message queues, and other scripting languages to ensure scalable, reliable, and efficient data flow across production environments.
Your role:
- Design, develop, test, and deploy software solutions for Aptiv’s cloud-based data processing systems for automotive datalogger data, including ingest pipelines, ETL workflows, and analytics infrastructure.
- Investigate, root-cause, and resolve production issues across distributed systems.
- Collaborate with systems analysts, engineers, and developers to design systems and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
- Modify existing software to correct errors, allow it to adapt to new platform, or improve its performance.
- Partner with internal stakeholders to develop and execute validation plans that confirm fixes and enhancements meet operational and customer expectations.
- Stay current with evolving cloud technologies, data processing frameworks, and tooling to continuously improve support capabilities and system efficiency.
Requirements:
- Bachelor's Degree – Computer Science, Computer Engineering, or similar.
- 5+ years Python and/or Golang (preferred) software development experience.
- Proven ability to analyze and navigate legacy codebases, including independently investigating, debugging, and resolving issues without detailed documentation.
- Demonstrated skill at navigating ambiguity and resolving issues without detailed instructions or oversight.
- Experience interfacing applications with relational and non-relational databases (e.g., MySQL, MongoDB), including CRUD operations and schema design.
- Proficient in Linux environments and shell scripting.
- Deep experience with Kubernetes, AWS, RabbitMQ, MongoDB, and MySQL in production settings.
- Familiarity with debugging tools, performance profiling, and system optimization techniques.
- Strong written and oral communication skills, with the ability to clearly document and explain technical concepts.
What will make you stand out:
- Master’s degree in computer science, computer engineering, or related degree programs.
- Understanding microservices and deployment with helm a plus.
- Experience working with media file processing a plus.
- File I/O and file management experience with AWS S3 a plus.
- Demonstrated enthusiasm for AI-assisted coding and a track record of using state of the art tools to enhance development speed, efficiency, and code quality.
- Familiar with database schema design principles and DB query languages such as SQL.
- Experience working with large data sets.
Why join us?
You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.
Your Benefits at Aptiv:
Savings Fund
Pension Plan
Christmas Bonus
Attendance Bonus
Vacation Premium
Medical Expenses
Life Insurance
Social security (IMSS, INFONAVIT, Retirement)
Recognition for innovation and excellence
Opportunities to give back to the community
Apply today, and together let’s change tomorrow!
Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
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