Lear, a global automotive technology leader in Seating and E-Systems, is Making every drive better™ by delivering intelligent in-vehicle experiences for customers around the world
.With over 100 years of experience, Lear has earned a legacy of operational excellence while building its future on innovation. Our talented team is committed to creating products that ensure the comfort, well-being, convenience, and safety of consumers. Working together, we are Making every drive better™.
To know more about Lear please visit our career site: www.lear.com
Overview:
As a Lead Data Engineer at Lear, you will take a leadership role in designing, building, and maintaining robust data pipelines within the Foundry platform. Your expertise will drive the seamless integration of data and analytics, ensuring high-quality datasets and supporting critical decision-making processes. If you’re passionate about data engineering and have a track record of excellence, this role is for you
Responsibilities:
Manage Execution of Data-Focused Projects:
As a senior member of the LEAR foundry team, support in designing, building and maintaining data-focused projects using Lear’s data analytics and application platforms.
Participate in projects from conception to root cause analytics and solution deployment.
Understand program and product delivery phases, contributing expert analysis across the lifecycle. Ensure Project deliverables are met as per agreed timeline.
Tools and Technologies:
Utilize key tools within Palantir Foundry, including:
Pipeline Builder: Author data pipelines using a visual interface.
Code Repositories: Manage code for data pipeline development.
Data Lineage: Visualize end-to-end data flows.
Leverage programmatic health checks to ensure pipeline durability.
Work with both new and legacy technologies to integrate separate data feeds and transform them into current scalable datasets.
Mentor junior data engineers on best practices.
Data Pipeline Architectur
📌 Lead Data Engineer (India)
🏢 Lear
📍 India
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