$150K — $200K *
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, mobileexperiences 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
As a member of the data engineering team, you will be a key technical expert overseeing the quality of data pipelines into and within the company, working with data architecture and data quality teams to structure high-quality data-at-rest and provisioning data for use and experimentation by various internal data customers. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. With your data engineering skills, you'll also work closely with the data science team to enable exploration of new data sources and the development of models to classify and bring meaning to unknown and unstructured data.
This is a hands-on role supervising data Ingestion and Integration processes from data source systems into the enterprise data warehouse, data lake or other data storage and exploration tools (i.e., Databricks delta lake)
Professionalize data engineering by developing standard management processes to oversee the lifecycle of ingress and egress data pipelines and customer data sandboxes under your management
Will partner with IT, data architecture and other teams on the administration and monitoring of all data platforms to ensure data is properly transported, harmonized and made accessible across key dimensions: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations
Performance tuning and optimization of all data ingestion and data integration processes, including data platform and databases
Will work cross-functionally with various teams and stakeholders to resolve data issues
Valid through: 12/21/2020