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PayPal Sr Data Engineer 
France, Auvergne-Rhône-Alpes 
891518396

17.07.2025

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What you need to know about the role-This role focuses on building robust data pipelines to deliver reliable insights that drive strategic decisions. You’ll enable advanced fraud risk analytics and empower leadership with data driven solutions.

Your way to

As a Data Engineer, you will design and optimizedata systems that power strategic insights and decision-making across the organization.You’ll lead initiatives to build scalable pipelines and infrastructure, enabling business stakeholders to access high-quality, actionable data.

Your day to day

  • Lead the design and development of complex data pipelines for data collection and processing.

  • Ensure data quality and consistency through sophisticated validation and cleansing processes.

  • Implement advanced data transformation techniques to prepare data for analysis.

  • Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.

  • data engineering processes for performance, scalability, and reliability.

What do you need to bring

  • Strong command ofSQL, including complex queries, optimization, and analytical functions.

  • inPythonfor data engineering tasks and scripting.

  • expertiseinbig data processing frameworkssuch asApache Spark, Flink, or Beam

  • Deep understanding ofdatamodeling,ETL/ELT frameworks, anddata warehousing

  • Experience withcloud platformsGoogle Cloud (preferred)

  • Familiarity withcontainerization and CI/CDpractices (e.g., Docker, Kubernetes, GitHub Actions).

  • Good understanding ofdata securityand

  • Exposure toreal-time streamingarchitectures and event-driven systems is a plus.

  • Ability to mentor junior engineers and lead technical discussions.

Preferred Qualification:

  • ·Proven expertise in big data processing frameworks such as Apache Spark, Flink, or Beam .
  • ·Strong command of SQL , including complex queries, optimization, and analytical functions.
  • ·Proficiency in Python for data engineering tasks and scripting.
  • ·Deep understanding of data modeling , ETL/ELT frameworks , and data warehousing principles.
  • ·Experience withcloud platforms, Google Cloud (preferred) .
  • ·Familiarity with containerization and CI/CD practices (e.g., Docker, Kubernetes, GitHub Actions).
  • ·Good understanding of data security and governance.
  • ·Ability to mentor junior engineers and lead technical discussions.
  • ·Exposure to real-time streaming architectures and event-driven systems is a plus.


Our Benefits:

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Any general requests for consideration of your skills, please.

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