Job Description

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 the key technical expert developing and overseeing PepsiCos data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. Youll 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 PepsiCos 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. Youll 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 Qualifications 5+ 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 BA/BS in Computer Science, Math, Physics, or other technical fields Skills, Abilities, Knowledge Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior-level management Ability to understand and translate business requirements into data and technical requirements Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment Organizational and interpersonal skills Foster a team culture of accountability, communication, self-management, and self-motivated Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals

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