Big Data Developer

General Mills Minneapolis–Saint Paul, MN

Company

General Mills

Location

Minneapolis–Saint Paul, MN

Type

Full Time

Job Description

Employer: General Mills, Inc.

Job Title: Big Data Developer (multiple positions)

Job Requisition: #2024-29266 | 20330.301.4

Job Location: 1 General Mills Blvd, Minneapolis, MN 55426

Job Type: Full Time

Duties:

Provide solutions and create a Connected Data backbone that supports our end-to-end Supply Chain organization by leveraging cloud and AI technologies to enable Supply Chain strategy and growth goals, and faster decision making. Partner closely with the Supply Chain business clients and technology peers to deliver performance management analytics and predictive capabilities that are used at different levels throughout the Supply Chain organization across the globe. Strengthen Supply Chain by providing consumable, connected data capabilities and guidance to enable data driven decisions. Understand the Digital and Analytics Cloud technology and how it connects current capabilities and shapes future capabilities. Serve as the technical subject matter expert on technology for Supply Chain clients, uncovering key business questions and providing analysis, insights, and solutions to answer them. Partner with our Supply Chain clients in development of new capabilities that leverage Cloud and AI technologies. Gather project requirements from internal business clients. Translate requirements into technical documents, identifying and eliminating gaps via partnership with architects and communicate requirements.

Requirements:

Employer will accept a Bachelor's degree in information systems, Computer Science, Engineering or related field and 5 years of post-baccalaureate, progressively responsible experience in job offered or 5 years of post-baccalaureate, progressively response experience in programming. Must also have experience in each of the following:

1. 1 year of experience in BigQuery and Cloud Storage

2. 4 years of experience in Hadoop storage and querying (Hive, Spark, or Kafka)

3. 1 year of experience with YARN, Airflow or Tidal

4. 4 years of experience writing SQL queries

5. 1 year of experience working in an Agile-Scrum way

6. Data analysis

7. Writing highly complex ETL (Extract / Transform / Load) processes, designing database systems and developing tools for real-time and offline analytic processing

8. 4 years' experience building complex data and/or software engineering solutions

9. Experience with Data Engineering essentials such as scripting languages, source control, workflow scheduling, relational and nonrelational SQL, and development of complex data solutions

10. Working with structured and semi-structured data at the enterprise scale

11. Developing enterprise data systems and working closely with the business

12. Experience with data pipeline and workflow management tools

Telecommuting 100% of time permitted. Background check and drug testing required.

Contact: Apply online at https://careers.generalmills.com/careers/ Please refer to job requisition number - 2024-29266

The salary range for this position $133,900-$153,300. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences, performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decision including, but not limited to, education, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.

Date Posted

08/18/2024

Views

2

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