Data Engineer - Enterprise Data Operations Analyst

Global food and beverage leader known for iconic brands like Pepsi, producing snacks and beverages worldwide.
Data
Senior Software Engineer
Hybrid
5,000+ Employees
6+ years of experience
Enterprise SaaS

Description For Data Engineer - Enterprise Data Operations Analyst

PepsiCo is seeking a Senior Data Engineer to join their Enterprise Data Operations team. As a key technical expert, you'll develop and oversee data product build & operations while driving the vision for data engineering impact on the business. You'll work with a team building data pipelines for various source systems, managing data on the PepsiCo Data Lake, and enabling analytics and machine learning efforts. The role involves working with both on-premise and cloud systems, focusing on revenue management, supply chain, manufacturing, and logistics data products. You'll collaborate closely with process owners, product owners, and business users while helping to build and scale PepsiCo's data infrastructure. The position offers the opportunity to work with cutting-edge technologies and shape the future of data engineering at a global enterprise level. The ideal candidate will combine technical expertise with leadership skills to drive innovation and best practices in data engineering.

Last updated 9 days ago

Responsibilities For Data Engineer - Enterprise Data Operations Analyst

  • Own data pipeline development end-to-end
  • Ensure high quality software through code reviews
  • Define best practices for product development and engineering
  • Collaborate in architecture discussions
  • Lead feature development with other engineers
  • Develop software in short iterations
  • Support data pipelines through monitoring and debugging
  • Introduce new tools and practices to improve data quality

Requirements For Data Engineer - Enterprise Data Operations Analyst

Python
PostgreSQL
MySQL
  • 6-9 years of overall technology experience with 5+ years in software development
  • 4+ years of experience in SQL optimization and performance tuning
  • Experience with data modeling, data warehousing, and ETL/ELT pipelines
  • Experience with data profiling and data quality tools
  • Expertise in cloud platforms (AWS, Azure)
  • Knowledge of orchestration platforms (Airflow, Luigi, Databricks)
  • Experience with version control and CI/CD tools
  • Fluency in Agile processes and tools

Benefits For Data Engineer - Enterprise Data Operations Analyst

Relocation Benefits
  • Relocation Benefits

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