General Mills
Website:
generalmills.com
Company:
https://www.linkedin.com/company/general-mills
Seniority: Not Applicable
Industries: Manufacturing
Job details:
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 what’s 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 solutions
- Support data warehouses and related scheduled jobs
- Analyze business requirements and improve process efficiency
- Partner with architects, solution managers, and analysts to deliver data solutions
- Work effectively across a distributed global team environment
- Manage multiple stakeholders, priorities, and ambiguous situations
- Troubleshoot issues with users, IT teams, vendors, and service providers
- Lead small initiatives and contribute to enterprise project delivery
- Drive automation and continuous improvement across processes
- Train team members, IT functions, and business users on solutions and tools
Minimum Qualifications
- Education : Bachelor’s degree or equivalent practical experience in a relevant field.
- Experience : 7–12+ years of experience as a Data Engineer or in a similar role
- Strong hands-on experience in cloud data engineering, with GCP preferred
- Expert-level skills in SQL, Python, and Data Warehousing concepts
- Good working knowledge of BigQuery, Composer, dbt, and cloud functions
- Experience with ETL pipelines, job scheduling tools, and production support
- Understanding of SAP landscape, data governance tools, and cybersecurity basics
- Strong 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.
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