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Pimpri-Chinchwad

    Senior Data Engineer - pimpri-chinchwad, India - Lear Corporation

    Lear Corporation
    Lear Corporation pimpri-chinchwad, India

    6 days ago

    Default job background
    Manufacturing / Mechanical
    Description

    Overview:

    As a Senior 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 andutilize 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.

    Team Development and Collaboration :

    • Mentor junior team members and contribute to their growth.
    • Foster collaboration within cross-functional teams.
    • Share best practices and encourage knowledge sharing.

    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, and data integration.
    • Proficiency in Python and libraries like Pyspark, Pandas, Numpy .
    • Strong understanding of Palantir Foundry and its capabilities.
    • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
    • Excellent problem-solving skills and attention to detail.
    • Effective communication and leadership abilities.

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