Senior Data Engineer

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 worl d.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 si te : www.lear .c om Overv i ew: A s a Data Engi neer at Lear, you will play a crucial role in ensuring the seamless integration of data and analytics within the Foundry platform. Your responsibilities will revolve around building and maintaining robust data pipelines, producing high-quality datasets, and supporting the organization’s data-driven decision-making processes. If you thrive in a dynamic environment and have a passion for data engineering, this role is for you!

Responsibili ties: Manage Execution of Data-Focused Pro jects:As a member of the LEAR foundry team, oversee data-focused projects using Lear’s data analytics and application pla tform.Participate in projects from conception to root cause analytics and solution deplo yment.Understand program and product delivery phases, contributing expert analysis across the life cycle.Tools and Techno l ogies:Utilize key tools within Palantir Foundry, incl uding:Pipeline B uilder: Author data pipelines using a visual inte rface.Code Reposi tories: Manage code for data pipeline develo pment.Data L ineage: Visualize end-to-end data flows.Leverage programmatic health checks to ensure pipeline durab ility.Work with both new and legacy technologies to integrate separate data feeds and transform them into new scalable dat asets.Data Pipeline Devel o pment:Collaborate with cross-functional teams to design, build, and maintain data pipe lines.Ensure data pipelines are efficient, reliable, and sca lable.Implement best practices for data ingestion, transformation, and enric hment.Big Data, Dataset Creation and Maint e nance: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 res ource.Collaboration and Transp a rency:Work closely with data scientists, analysts, and operational teams.Provide transparency into data pipeline computation and h ealth.Compliance and data sec urity:Ensure documentation and procedures align with internal practices (ITPM) and Sarbanes Oxley requirements, continuously improving them.Quality Assurance & Optimi z ation:Optimize data pipelines and their impact on resource utilization of downstream proc esses.Continuously test and improve data pipeline performance and reliab ility.Optimize system performance for all deployed reso urces. Qualific ations: Bachelor’s degree in Computer Science, Engineering, or a relate d field.Proven experience in data engineering, ETL (Extract, Transform, Load), and data integration and Palantir foundry (At least 2 years).Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).Proficiency in programming languages (Python, Java( Typescript) , etc.).Proficiency in libraries of python for big data (PySpark, pandas, Numpy , etc.).Strong problem-solving skills and attention to detail.Excellent communication and collaboration ab ilities.