Data Engineer
Aptiv · Chennai
- Experience3–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted30 Sept 2026
About Aptiv
Aptiv is hiring in Chennai in automotive mobility. This role looks for around 3+ years of experience.
Skills
- ETL
- data modeling
- machine learning
- PostgreSQL
- MySQL
- MongoDB
- Google Cloud SQL
- Google Cloud Platform
- Google Cloud Storage
- Google Cloud Dataproc
- Google Cloud Dataflow
- Google BigQuery
- Scrum
- Kanban
The role
A data engineer at an automotive mobility company designs ETL pipelines, builds data modeling solutions, and develops machine learning workflows for large-scale analytics. The role also uses PostgreSQL and Google Cloud Platform to manage production data systems.
Full job description
Major Accountabilities:
Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process and transform raw data into usable formats for analysis and reporting.
Implement data modeling techniques to optimize data storage and retrieval, ensuring efficient data access and query performance.
Utilize data analytics tools and techniques to extract insights and patterns from large datasets, enabling data-driven decision-making within the organization.
Develop and implement automated machine learning (AutoML) solutions to streamline the process of model development and deployment.
Manage and administer relational and non-relational databases, including PostgreSQL, MySQL, MongoDB, and Google Cloud SQL, ensuring data integrity, security, and availability.
Perform database tuning and optimization to improve query performance and overall system efficiency.
Utilize cloud computing platforms such as Google Cloud Platform (GCP) to deploy and manage data processing and analytics workflows.
Leverage GCP services including Google Cloud Storage, Google Cloud Dataproc, Google Cloud Dataflow, and Google BigQuery for scalable data processing and analysis.
Coordinate and oversee the release of data engineering solutions and pipelines into production environments, ensuring smooth deployment and minimal disruption to operations.
Work in an agile development environment, following agile methodologies such as Scrum or Kanban to iteratively deliver data engineering solutions.
Participate in sprint planning, backlog grooming, and daily stand-up meetings to prioritize tasks and track progress towards project goals.
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.