eCom Data Engineer Specialist

Overview

PepsiCo 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 PepsiCo's global business scale to enable business insights, advanced analytics, and new product development. PepsiCo'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.

Responsibilities

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo'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 PepsiCo 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 PepsiCo'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 :

Qualifications

Current skills in the following technologies :

EEO Statement

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer : Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age.

Please view our Pay Transparency Statement. EEO rights information can be downloaded in the EEO documents.

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