Posted in Other 30+ days ago.
Type: Full Time
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.
As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines for global workforce data, driving our Human Resources 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.
- 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
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Bachelor's Degree
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5 years of experience working in data engineering or architecture role
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Expertise in SQL and data analysis and experience with at least one programming language
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Experience developing and maintaining data warehouses in big data solutions
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Big Data development experience using Hadoop AND some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka
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Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
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Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
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Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
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Passion for agile software processes, data-driven development, reliability, and experimentation
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Experience working on a collaborative agile product team
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Excellent communication, listening, and influencing skills
PREFERRED QUALIFICATIONS
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Bachelor's degree in Computer Science, MIS, or Engineering
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7+ years applicable work experience
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Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
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Experience in Python or Scala
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Big Data development experience using Hive, Impala, Spark and familiarity with Kafka
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Familiarity with the Linux operating system
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Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
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Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
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Knowledge of Data Preparation, Data Wrangling, and Feature Engineering
#dice
#cb .
General Mills is an Equal Employment Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply to any General Mills employment opportunities.
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