Data Engineer II (712 Years' Experience Required)

Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for whats next. Overview The Enterprise Data Development team is responsible for designing & architecting solutions to integrate & transform business data into Data Warehouse to deliver data layer for the Enterprise using cutting edge cloud technologies like GCP. We design solutions to meet the expanding need for more and more internal/external information to be integrated with existing sources; research, implement and leverage new technologies to deliver more actionable insights to the enterprise. We integrate solutions that combine process, technology landscapes and business information from the core enterprise data sources that form our corporate information factory to provide end to end solutions for the business. Key Accountabilities Design, build, and support GCP, ETL, and SQL solutionsSupport data warehouses and related scheduled jobsAnalyze business requirements and improve process efficiencyPartner with architects, solution managers, and analysts to deliver data solutionsWork effectively across a distributed global team environmentManage multiple stakeholders, priorities, and ambiguous situationsTroubleshoot issues with users, IT teams, vendors, and service providersLead small initiatives and contribute to enterprise project deliveryDrive automation and continuous improvement across processesTrain team members, IT functions, and business users on solutions and tools Minimum Qualifications 712+ years of experience as a Data Engineer or in a similar roleStrong hands-on experience in cloud data engineering, with GCP preferredExpert-level skills in SQL, Python, and Data Warehousing conceptsGood working knowledge of BigQuery, Composer, dbt, and cloud functionsExperience with ETL pipelines, job scheduling tools, and production supportUnderstanding of SAP landscape, data governance tools, and cybersecurity basicsStrong communication, analytical thinking, and stakeholder management skills Preferred Qualifications GCP Data Engineer certification, GCP certification Understanding of CPG industry ELIGIBILITY Applicants must meet minimum age qualifications in the country in which the job is located. .