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.
Skills Required
- Experience designing, developing, and maintaining scalable ETL pipelines
- Knowledge of data modeling and query performance optimization
- Experience with relational and non-relational databases, including PostgreSQL, MySQL, MongoDB, and Google Cloud SQL
- Experience using Google Cloud Platform and services including Cloud Storage, Dataproc, Dataflow, and BigQuery
- Experience developing or implementing automated machine learning solutions
- Experience deploying data engineering solutions and pipelines to production
- Experience working with Agile methodologies such as Scrum or Kanban
APTIV Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APTIV and has not been reviewed or approved by APTIV.
-
Retirement Support — A 401(k) plan with company contribution and competitive matching is described as a notable component of the total rewards package. Equity participation and performance bonuses are also positioned as part of long-term and variable compensation.
-
Healthcare Strength — Core coverage is portrayed as broad, spanning medical, dental, vision, life, and disability insurance. Mental health resources and an Employee Assistance Program are also included as part of wellness support.
-
Leave & Time Off Breadth — Paid holidays, paid sick days, and flexible time-off policies are included in the benefits mix. Flexible scheduling and remote-work programs further support time management and personal needs.
APTIV Insights
What We Do
Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. #ItsOurMove
