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 ™

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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 current 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.

📌 Senior Data Engineer (Pune)
🏢 Lear
📍 Pune