Data Architect
Help shape the future of mobility.
Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv’s passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.
Your Role and Background
1. Data Engineering
- Data Modeling: Knowledge of designing efficient data models that support machine learning workflows.
- ETL Processes: Expertise in Extract, Transform, Load (ETL) processes to prepare data for analysis.
- Data Quality Management: Techniques for ensuring data accuracy, completeness, and consistency.
2. Machine Learning and AI
- Algorithm Selection: Understanding of various machine learning algorithms and their appropriate use cases.
- Model Training and Evaluation: Skills in training, validating, and evaluating machine learning models.
- Feature Engineering: Ability to select and transform data features to improve model performance.
3. Cloud Computing
- Cloud Platforms: Proficiency in using cloud services like AWS, Azure, or Google Cloud for scalable AI/ML workflows.
- Containerization: Knowledge of Docker and Kubernetes for deploying scalable applications.
- Serverless Architecture: Experience with serverless computing to manage workloads efficiently.
4. DevOps Practices
- CI/CD Pipelines: Building and maintaining Continuous Integration and Continuous Deployment pipelines for ML models.
- Automation: Automating repetitive tasks in the ML lifecycle, such as data preprocessing and model retraining.
- Monitoring: Implementing monitoring solutions to track model performance and system health.
5. DataOps Practices
- Data Pipeline Automation: Automating data workflows to ensure data is continuously prepared and available for analysis.
- Collaboration Tools: Using tools that facilitate collaboration between data scientists, engineers, and operations teams.
- Version Control: Managing data and model versioning to ensure reproducibility and traceability.
6. Programming and Scripting
- Programming Languages: Proficiency in languages commonly used in data science and engineering, such as Python and SQL.
- Scripting: Writing scripts to automate data handling and processing tasks.
7. Big Data Technologies
- Data Storage: Knowledge of databases and data warehousing solutions (e.g., SQL, NoSQL, Hadoop, Spark).
- Data Processing Frameworks: Familiarity with frameworks like Apache Kafka, Apache Flink, or Apache NiFi for real-time data processing.
8. Security and Compliance
- Data Security: Implementing data security best practices to protect sensitive information.
- Compliance: Ensuring that data handling processes comply with relevant regulations and standards (e.g., GDPR).
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:
- Hybrid and flexible working hours;
- Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
- Life and accident insurance;
- Sodexo cards for food and beverages
- Well Being Program that includes regular workshops and networking events;
- EAP Employee Assistance;
- Access to fitness clubs (T&C apply);
- Creche facility for working parents;
Apply today, and together let’s change tomorrow!
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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.
