Lear Corporation

Foundry Data Analyst

Lear Corporation

full-time

Posted on:

Location Type: Office

Location: Legnica • 🇲🇦 Morocco

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Job Level

Mid-LevelSenior

Tech Stack

ApacheCloudETLJavaScriptPandasPySparkPythonRDBMSReactSparkSQLTypeScript

About the role

  • Engage in multiple projects at various stages - starting from initial problem definition or providing support during execution
  • Work within Agile/Scrum frameworks, managing sprints and backlog tasks in a fast-paced environment
  • Understand project and product delivery phases and provide expert analysis throughout the lifecycle
  • Contribute to the discovery phase as a full-stack development expert, identifying technical challenges and proposing effective solutions
  • Build mock-ups, demos, and solution skeletons to validate concepts early in the process
  • Support ETL/ELT processes and perform data mining to prepare meaningful datasets for application development
  • Analyse data to generate statistical insights, trends, and patterns for informed decision-making
  • Build robust data pipelines using Python/PySpark or low-code tools (Pipeline builder), ensuring optimal configurations for performance and scalability (transaction types, write mode, computation profiles, projections etc.)
  • Design and implement relational data models and ontology objects
  • Create dynamic, executable actions for end-users using TypeScript, SDKs, and other relevant tools
  • Ensure efficient storage, computation profiles, and cost management from development through deployment
  • Develop user-friendly, dynamic interfaces using Contour, Workshop and other relevant Foundry tools
  • Utilize APIs and Webhooks to enhance solutions with advanced features
  • Apply AI technologies (LLMs, chatbots, RAG) and develop ML models to automate processes and improve business efficiency
  • Maintain clear, structured documentation for knowledge transfer and ongoing support
  • Work collaboratively, understanding the broader impact of individual contributions on team goals
  • Stay updated on tool upgrades and emerging technologies, demonstrating a strong desire for professional growth

Requirements

  • Proven experience with Palantir Foundry (preferred) or similar big data platforms (Databricks, Snowflake)
  • Expertise in data processing engines - Apache Spark preferred
  • Skilled in transactional data transformation (snapshot, incrementality, CDC, update etc.)
  • Proficiency in Python/PySpark for dataset transformation
  • Experience with TypeScript/JavaScript for UI development
  • Solid understanding of AI foundations, especially LLMs and RAG
  • Knowledge of cloud-based computing environments
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work autonomously and manage tight deadlines
  • Intermediate to expert experience in RDBMS and relational data modeling (1-1, 1-*, - relationships; star and galaxy schemas)
  • Proficient in SQL (i.a. joins, window functions)
  • Experience with ETL processes and data manipulation
  • Effective communication skills for internal and external stakeholders
  • Innovative mindset with a focus on driving business improvements
  • Data mining expertise and ability to clean corrupted data and fix coding errors
  • Statistical knowledge for trend and pattern analysis
  • Intermediate to expert experience with data visualization tools like Power BI, Qlik
  • Intermediate proficiency in Microsoft Office, including Excel and PowerPoint
  • Minimum 1 year of experience working with Palantir Foundry (preferred)
  • Familiarity with data processing libraries such as Pandas and Polars
  • Expert-level proficiency in Python programming
  • Strong skills in JavaScript/TypeScript programming
  • Intermediate experience in React-based UI development
  • Solid understanding of machine learning, including building custom ML models using common algorithms (e.g., linear regression, decision trees, random forests, logistic regression)
  • 3+ years of experience in IT systems, preferably in data & digitization or software development
  • At least 1 year of hands-on experience in Python programming and/or TypeScript
  • 1 year of experience in a manufacturing or automotive support environment (preferred)
Benefits
  • Access to Learning and development opportunities
  • Opportunities to give back to the community
  • Meaningful work that makes a difference in the world

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonPySparkTypeScriptJavaScriptSQLApache SparkETLdata visualizationrelational data modelingmachine learning
Soft skills
analytical skillsproblem-solvingattention to detailcommunication skillsinnovative mindsetautonomytime managementcollaborationprofessional growthknowledge transfer