Data Engineer - Enterprise Data Operations Analyst

Global food and beverage leader producing beloved brands like Pepsi, Lay's, and Gatorade.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
6+ years of experience
Enterprise SaaS

Description For Data Engineer - Enterprise Data Operations Analyst

PepsiCo is seeking a Data Engineer to join their Enterprise Data Operations team in Hyderabad. As a key technical expert, you'll be responsible for developing and overseeing PepsiCo's data product build & operations while driving the vision for data engineering's impact on the business. You'll join a team of data engineers building data pipelines into various source systems, managing data on the PepsiCo Data Lake, and enabling analytics, visualization, and machine learning efforts across the company.

The role involves working with cutting-edge technologies including Python, cloud platforms (AWS/Azure), and modern data warehousing solutions like Snowflake. You'll be instrumental in developing large-scale data applications that directly impact PepsiCo's flagship data products in revenue management, supply chain, manufacturing, and logistics.

Working in a hybrid environment with both on-premise and cloud systems, you'll collaborate closely with process owners, product owners, and business users. The position offers the opportunity to be a founding member of the data engineering team, helping to attract talent and represent PepsiCo at industry events.

This is an excellent opportunity for an experienced data engineer looking to make a significant impact at a global Fortune 500 company. You'll be part of a world-class engineering team, defining best practices and driving innovation in data engineering. The role offers the chance to work on meaningful projects that affect PepsiCo's global operations while growing your career in a supportive, technology-forward environment.

Last updated 2 hours ago

Responsibilities For Data Engineer - Enterprise Data Operations Analyst

  • Own data pipeline development end-to-end, including data modeling, testing, scalability, and operability
  • Review peer code check-ins to ensure high quality software
  • Define best practices for product development, engineering, and coding
  • Collaborate in architecture discussions and decision making
  • Lead feature development in collaboration with other engineers
  • Develop software in short iterations
  • Introduce new tools and practices to improve data and code quality
  • Support data pipelines through exception handling and monitoring

Requirements For Data Engineer - Enterprise Data Operations Analyst

Python
PostgreSQL
Kubernetes
  • 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 building highly available, distributed systems
  • Experience with data profiling and quality tools
  • Proficiency in Python, orchestration platforms, and cloud platforms
  • Experience with version control and CI/CD tools
  • Fluent with Agile processes and tools

Benefits For Data Engineer - Enterprise Data Operations Analyst

Relocation Benefits
  • Relocation Benefits

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