Overview

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In this role you will help build the general data product foundation that powers PepsiCo’s international growth in digital commerce. You’ll work with a cross-functional team to design, implement, and scale data pipelines and platforms that enable data-driven decisions. You will contribute to engineering best practices and collaborate with product, QA, and IT teams to improve data quality and delivery. This is a chance to shape data infrastructure for a global business and accelerate transformative initiatives in a startup-minded, enterprise environment.

Responsabilidades

Own end-to-end data pipeline development, including modeling, testing, scalability, and operability
Contribute to engineering best practices within the team
Collaborate with product and technology platforms to implement data solutions
Participate in architecture discussions and decisions to expand platforms
Deliver high quality pipelines through analysis, reviews,



test automation, and QA collaboration
Introduce new tools and practices to improve data and code quality, researching or sourcing third-party tools and building in-house tools
Support pipelines with robust exception handling, monitoring, and debugging production issues
Manage multiple data sources, analyze data quality, and coordinate with client IT/data teams to resolve issues

Requisitos principales

5+ years designing and building scalable data systems
Proficiency in Python, PySpark, SQL, Airflow, DBT, Hadoop (Hive/Impala), AWS, Azure, Snowflake
Strong interpersonal skills to understand Enterprise Information Management xqbhyrx requirements and translate to solutions
Experience in Retail, E-commerce, or Financial Services preferred
Strong analytical abilities for complex customer problems and data-driven decisions
Hands-on experience with large data sets using Python/PySpark/SQL/Hive/Impala

📌 Senior Data Engineer (Vitoria-Gasteiz)
🏢 Jobrapido
📍 Vitoria-Gasteiz