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Key skills for this role
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 cloud-based data pipelines and data models, with GCP preferred
Partner with business analysts, architects, and project stakeholders to deliver business initiatives
Support existing data warehouses and related jobs
Troubleshoot technical and performance issues across the data environment
Lead small initiatives and contribute to enterprise project implementation
Mentor team members, build domain knowledge, and document processes
Evaluate new tools, technologies, and big data processes to improve delivery
Drive automation, continuous improvement, and effective problem-solving in ambiguous situations
MINIMUM QUALIFICATIONS
10–12+ years of experience in ETL and data engineering, with at least 4+ years in cloud technologies
Proven experience as a technical or project lead for global initiatives
Strong ability to mentor developers and guide team delivery
Expertise in GCP, BigQuery, SQL, Composer, Cloud Functions, and Data Warehousing concepts
Working knowledge of Python, Kafka or Pub/Sub, and data storage tools such as S3 or Blob Storage
Strong analytical skills with close attention to detail and delivery accuracy
Ability to identify risks, manage timelines, and make timely project decisions
Strong communication and stakeholder management skills, with the ability to build effective working relationships
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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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 cloud-based data pipelines and data models, with GCP preferred
Partner with business analysts, architects, and project stakeholders to deliver business initiatives
Support existing data warehouses and related jobs
Troubleshoot technical and performance issues across the data environment
Lead small initiatives and contribute to enterprise project implementation
Mentor team members, build domain knowledge, and document processes
Evaluate new tools, technologies, and big data processes to improve delivery
Drive automation, continuous improvement, and effective problem-solving in ambiguous situations
MINIMUM QUALIFICATIONS
10–12+ years of experience in ETL and data engineering, with at least 4+ years in cloud technologies
Proven experience as a technical or project lead for global initiatives
Strong ability to mentor developers and guide team delivery
Expertise in GCP, BigQuery, SQL, Composer, Cloud Functions, and Data Warehousing concepts
Working knowledge of Python, Kafka or Pub/Sub, and data storage tools such as S3 or Blob Storage
Strong analytical skills with close attention to detail and delivery accuracy
Ability to identify risks, manage timelines, and make timely project decisions
Strong communication and stakeholder management skills, with the ability to build effective working relationships
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.
General Mills is a global food company with more than 100 brands sold in over 100 countries, including Cheerios, Nature Valley, Old El Paso, Annie’s and Blue Buffalo. Formally established in 1928 from milling businesses whose roots date to 1866, it produces cereals, snacks, meals, baking products and pet food.
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Senior · 12+ years experience
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