Data Engineer

Data Engineer - L06

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.

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.

Responsibilities:

• Active contributor to code development in projects and services.
• Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Understand and adapt existing frameworks for 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 the team and learn to build scalable data pipelines.
• Support data engineering pipelines and quickly respond to failures.
• Collaborate with the team to develop new approaches and build solutions at scale.
• Create documentation for learning and knowledge transfer.
• Learn and adapt automation skills/techniques in day-to-day activities.

Qualifications:

• 1+ years of overall technology experience includes at least 1+ years of hands-on software development and data engineering.
• 1+ years of development experience in programming languages like Python, PySpark, Scala, etc. Experience or knowledge in Data Modeling, SQL optimization, performance tuning is a plus.
• 6+ months of cloud data engineering experience in Azure Certification is a plus.
• Experience with version control systems like Github and deployment & CI tools.
• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
• Experience with data profiling and data quality tools is a plus.
• Experience in working with large data sets and scaling applications like Kubernetes is a plus.
• Experience with Statistical/ML techniques is a plus.
• Experience with building solutions in the retail or in the supply chain space is a plus.
• Understanding metadata management, data lineage, and data glossaries is a plus.
• Working knowledge of agile development, including DevOps and DataOps concepts.
• Familiarity with business intelligence tools (such as PowerBI).

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 and translate business requirements into data and technical requirements.
• High degree of organization and ability to coordinate effectively with the team.
• Positive and flexible attitude and 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.
• COVID-19 vaccination is a condition of employment for this role. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law.

EEO Statement:

All qualified applicants will receive consideration for employment without regard to 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

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement