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Senior Data Engineer (US Remote Eligible)

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Job title: Senior Data Engineer (US Remote Eligible)

Company: General Mills

Job description: Job Description:

Senior Data Engineer

OVERVIEW:

Do you want to impact our future through data, analytics and innovative technology? Do you thrive on leading big things and making it happen? Bring your passion, expertise and problem-solving skills to the table and make an impact.

General Mills is reshaping the future, and technology & data play an important role for us. Your technology experience will help us get the right data and solutions at the right time, every time. As one of the world’s leading food companies, General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, LÄRABAR, Pillsbury, Yoplait, Annie’s Homegrown, Totino’s, Epic Provisions and Blue Buffalo.

As a Sr. Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.

KEY RESPONSIBILITIES

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
  • Design, create, code, and support a variety of ETL solutions (potentially including but not limited to: Talend Studio, Python, Scala, Kafka, Google Big Query, or others)
  • Solve complex data problems to deliver insights that helps our business to achieve their goals
  • Create data products for analytics and data scientist team members to improve their productivity
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
  • Lead evaluation, implementation, and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team
  • Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
  • Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

MINIMUM QUALIFICATIONS

  • Bachelor’s Degree
  • 5+ years of experience working in data engineering or architecture role
  • Expertise in SQL and data analysis and experience with at least one programming language
  • Experience developing and maintaining data warehouses in Cloud or other large scale data platforms
  • Data Engineering experience using Google Cloud Platform or another Cloud environment
  • Experience with BigQuery, Python, Spark, and familiarity with Kafka
  • Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
  • Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured

data. * Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

  • Passion for agile software processes, data-driven development, reliability, and experimentation
  • Experience working on a collaborative agile product team
  • Excellent communication, listening, and influencing skills

PREFERRED QUALIFICATIONS

  • Bachelor’s degree in Computer Science, MIS, or Engineering
  • 7+ years applicable work experience
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
  • Familiarity with the Linux operating system
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
  • Knowledge of Data Preparation, Data Wrangling, and Feature Engineering

ADDITIONAL CONSIDERATIONS

  • The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States will be considered.
  • Relocation support will not be offered to applicants within the United States.
  • International relocation or international remote working arrangements (outside of the US) will not be considered.

Salary Range

The salary range for this position is $103600.00 – $172900.00 / Annually. 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 decisions including, but not limited to, educations, 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.

Expected salary: $103600 – 172900 per year

Location: Minneapolis, MN

Job date: Fri, 12 May 2023 07:21:49 GMT

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