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SalaryOverview:
What PepsiCo Data Management and Operations (EDO) does:
Job Description:
Compensation and Benefits:
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
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 (EDO) 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
Job Description:
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
- Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance
- Responsible for implementing best practices around systems integration, security, performance and data management
- Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape
- Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
- Develop and optimize procedures to “productionalize” data science models
- Define and manage SLA’s for data products and processes running in production
- Support large-scale experimentation done by data scientists
- Prototype new approaches and build solutions at scale
- Research in state-of-the-art methodologies
- Create documentation for learnings and knowledge transfer
- Create and audit reusable packages or libraries
Compensation and Benefits:
- The expected compensation range for this position is between $75,000 - $127,500 based on a full-time schedule.
- Location, confirmed job-related skills and experience will be considered in setting actual starting salary
- Bonus based on performance and eligibility; target payout is 5% of annual salary paid out annually.
- Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
- In addition to salary, PepsiCo 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.
- 2+ years of overall technology experience that includes at least 2+ years of hands-on building Data Engineering pipelines
- 2+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.)
- 1+ years in cloud Data Engineering experience in Azure, Azure Certification is a plus
- 1+ Years in building Data Engineering pipelines in Azure (ADF and databricks)
- Experience with version control systems like Github and deployment & CI tools
- 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 of metadata management, data lineage, and data glossaries is a plus
- Working knowledge of agile development, including DevOps and DataOps concepts is a plus
- Must have 1+ year experience in Financial Planning domain and subject areas like Topline, Opex and Cogs
- BA/BS in Computer Science, Math, Physics, or other technical fields
Education
Bachelor’s Degree in Supply Chain and/or Operations Management is required.
Competencies
- Strong knowledge and understanding of SC data elements and processes per the necessary in-scope data domain (i.e. Customer, Material, Vendor)
- Ability to translate business requirements into critical data dependencies and requirements
- Able to challenge and align various stakeholders to a common set of standards
- Self-starter with excellent written & verbal communication skills.
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
