ECom Data Engineer Specialist

Overview

Pepsi Co operates in an environment undergoing immense and rapid change. Big data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences, and IoT. The key to winning in these areas is leveraging enterprise data foundations built on Pepsi Co’s global business scale to enable business insights, advanced analytics, and new product development.

Pepsi Co’s Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

As a member of the data engineering team, you will be the key technical expert developing and overseeing Pepsi Co's data product build & operations and driving a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the Pepsi Co Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.

You will help lead the development of very large and complex data applications into public cloud environments, directly impacting the design, architecture, and implementation of Pepsi Co's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners, and business users. You'll be working in a hybrid environment with in-house, on-premise data sources, as well as cloud and remote systems.

Accountabilities:

• Own data pipeline development end-to-end, spanning data modeling, testing, scalability, operability, and ongoing metrics.
• Ensure that we build high-quality software by reviewing peer code check-ins.
• Define best practices for product development, engineering, and coding as part of a world-class engineering team.
• Collaborate in architecture discussions and architectural decision-making that is part of continually improving and expanding these platforms.
• Lead feature development in collaboration with other engineers; validate requirements/stories, assess current system capabilities, and decompose feature requirements into engineering tasks.
• Focus on delivering high-quality data pipelines and tools through careful analysis of system capabilities and feature requests, peer reviews, test automation, and collaboration with other engineers.
• Develop software in short iterations to quickly add business value.
• Introduce new tools/practices to improve data and code quality; this includes researching/sourcing 3rd party tools and libraries, as well as developing tools in-house to improve workflow and quality for all data engineers.
• Support data pipelines developed by your team through good exception handling, monitoring, and, when needed, debugging production issues.

Compensation and Benefits:

• The expected compensation range for this position is between $64,900 - $132,550.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• A business development incentive equity may be awarded based on eligibility and performance.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, Pepsi Co offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility:
  Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

• 4+ years of overall technology experience that includes at least 3+ years of hands-on software development, data engineering, and systems architecture.
• 3+ years of…