Analytics Engineer - US Remote Eligible

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Sr. Analytic 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.

ACCOUNTABILITIES:

• Establish scalable, efficient, automated processes for large scale data analyses, model development, validation, and implementation
• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL/ELT 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
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Evaluate, implement and deploy of variety of analytic tools, processes and techniques aimed at improving productivity of our Team 
• Partner with business analysts and solutions architects to implement technical architectures for strategic enterprise projects and initiatives
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics?

MINIMUM REQUIREMENTS:

• Bachelor’s Degree 
• Two (2+) or more years of professional experience in data engineering, software development/engineering, or data science 
• Two (2+) or more years of hands on development with frameworks such as Python, Java, Scala
• Experience with developing, deploying, maintaining and debugging ML / Data Science models in a production environment 
• Expertise in SQL and data analysis experience
• Experience developing with dbt for data transformations
• Experience developing and maintaining data warehouses in Big Data solutions
• Big Data development experience using BigQuery, Spark, and familiarity with Kafka
• Experience working with BI tools such as Looker, Tableau, and 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 REQUIREMENTS:

• Bachelor’s degree in Computer Science, MIS, or Engineering
• 4+ years applicable work experience 
• Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (GCP experience a plus) 
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Familiarity with the Linux operating system
• 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 or international remote working arrangements (outside of the US) will not be considered.