Job Description

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 being able to leverage 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. What PepsiCo Data Management and Operations does: Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders Increase awareness about available data and democratize access to it across the company . 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 drive 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. As a member of the data engineering team, 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 Active contributor to code development and support existing projects. Manage data pipelines from internal and external data sources to support day-to-day operations. Understand and adapt existing frameworks of data engineering pipelines in the organization. Responsible for adopting best practices around systems integration, security, performance, and data management defined within the organization. Collaborate with team and learn to build data pipelines. Support data engineering pipelines and quickly respond to failures. Collaborate with the team and learn about building data engineering pipelines. Create documentation for learning and knowledge transfer. Learn and adapt automation skills/techniques in day-to-day activities. Learn well-defined coding/development life cycles within the organization. Qualifications Qualifications 0 to 1+ years of overall technology experience includes some hands-on experience with software development and data engineering work. 0 to 1+ years of development experience in programming languages like Python, PySpark, Scala, etc. Experience or knowledge in Data Modeling & SQL is a plus. 6+ months of experience in any cloud technologies. Azure Certification is a plus. Working experience or knowledge of agile development, including DevOps and DataOps concepts. Experience with version control systems like Github and deployment & CI tools. Knowledge of data modeling, data warehousing, and ETL/ELT pipelines. Knowledge of data profiling and data quality tools is a plus. Knowledge in Statistical/Machine learning models is a plus. Knowledge in the retail or supply chain space is a plus Familiarity with business intelligence tools (such as PowerBI) is a plus. Education BA/BS in Computer Science, Math, Physics, or other technical fields. Skills, Abilities, Knowledge Excellent communication skills, both verbal and written, and the ability to influence and demonstrate confidence in communications with senior-level management. Comfortable with change, especially that which arises through company growth. Ability to understand business requirements and ask questions for additional clarifications. High degree of organization and ability to coordinate effectively with the team. Positive and flexible attitude to adjust to different needs in an ever-changing environment. Foster a team culture of accountability, communication, and self-management. Proactively drive impact and engagement while bringing others along. Consistently attain/exceed individual and team goals Ability to learn quickly and adapt to new skills. Competencies Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business. Understands both the engineering and business side of the Data Products released. Places the user in the center of decision making. Teams up and collaborates for speed, agility, and innovation. Experience with and embraces agile methodologies. Strong negotiation and decision-making skill. Experience managing and working with globally distributed teams.

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