Data science techniques, Data Visualization, Data Warehousing, Machine learning techniques, Python Programming, R Programming, SQL
India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success.
Job Overview
General Mills is seeking Analytic Data Engrs to join the Data Science and Analytic Engineering team (DSAS) in the Enterprise Data Capabilities function. This team builds enterprise level scalable and sustainable data pipelines to serve the analytic purpose. These data pipelining solutions are further leveraged to provide advanced analytical solutions around demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is also responsible for curating a community of practice to determine the best standards and practices around analytics data solutions at General Mills.
Job Responsibilities
Supervision
Consultation
Ability to research and recommend best practices on new technologies, platforms and components.
Desired Profile
Education
Minimum Degree Requirements: Bachelors
Preferred Major Area of Study
Computer Information / Computer Science
Min Preferred Professional Certifications
Data Engineer/ Data warehouse / Platforms / Cloud
Experience
Minimum years of related experience required: 3-4 years
Preferred years of experience: 6 years
Specific Job Experience or Skills Needed
Skillset needed in Data Engineering include Data Analysis, Data Platforms, Data Security, Data Quality, Version Control and BI. Understanding / experience of CPG industry is desirable.
Data Engineering background is required
Hadoop, Spark, other Database Platforms (Snowflake, Mongo, etc.),
Logging, alerting, scheduling & monitoring
Scripting language- Python / Scala
Cloud exposure: Google Cloud Platform preferred / Azure / AWS
Semantic layer - any tool / Atscale preferred
Data Integration Tools
Version Control (Git)
Understanding of Agile norms, principles, and key concepts
Active in defining and maintaining stories, and tasks
General Mills, Inc., is an American multinational manufacturer and marketer of branded consumer foods sold through retail stores. Founded on the banks of the Mississippi River at Saint Anthony Falls in Minneapolis, the company originally gained fame for being a large flour miller. Annie's Homegrown, Lärabar, Cascadian Farm, Betty Crocker, Yoplait, Nature Valley, Totino's, Pillsbury, Old El Paso, Häagen-Dazs, Cheerios, Chex, Lucky Charms, Trix.
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