Lead Data Engineer (Palantir Foundry)

We’re Lear for You

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 : om

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 new scalable datasets.
• Mentor junior data engineers on best practices.

Data Pipeline Architecture and Development :

• Lead the design and implementation of complex data pipelines.
• Collaborate with cross-functional teams to ensure scalability, reliability, and efficiency and utilize Git concepts for version control and collaborative development.
• Optimize data ingestion, transformation, and enrichment processes.

Big Data, Dataset Creation and Maintenance :

• Utilize pipeline or code repository to transform big data into manageable datasets and produce high-quality datasets that meet the organization’s needs.
• Implement optimum build time to ensure effective utilization of resource.

High-Quality Dataset Production :

• Produce and maintain datasets that meet organizational needs.
• Optimize the size and build scheduled of datasets to reflect the latest information.
• Implement data quality health checks and validation.

Collaboration and Leadership :

• Work closely with data scientists, analysts, and operational teams.
• Provide technical guidance and foster a collaborative environment.
• Champion transparency and effective decision-making.

Continuous Improvement :

• Stay abreast of industry trends and emerging technologies.
• Enhance pipeline performance, reliability, and maintainability.
• Contribute to the evolution of Foundry’s data engineering capabilities.

Compliance and data security:

• Ensure documentation and procedures align with internal practices (ITPM) and Sarbanes Oxley requirements, continuously improving them.

Quality Assurance & Optimization :

• Optimize data pipelines and their impact on resource utilization of downstream processes.
• Continuously test and improve data pipeline performance and reliability.
• Optimize system performance for all deployed resources.

Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum 5 years of experience in data engineering, ETL, data integration and Palantir Foundry (At least 2 years).
• Proficiency in Python and libraries like Pyspark, Pandas, Numpy .
• Strong understanding of Palantir Foundry and its capabilities.
• Familiarity with big data technologies (e.g., Spark, Hadoop, Kafka).
• Excellent problem-solving skills and attention to detail.
• Effective communication and leadership abilities.