At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.
Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.
While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America
This role will assist in developing and maintaining scalable data pipelines as well as ensure the availability, reliability, quality and security of data systems in order to support the global business’ data needs and improve operational efficiency.
Key Responsibilities
Develop and maintain scalable data pipelines leveraging Azure Synapse, PySpark, APIs, and SQL & performing advanced data cleaning, transformation, and manipulation to ensure high-quality, reliable data flows.
Monitor data pipeline performance and troubleshoot issues to ensure smooth and efficient data operations.
Collaborating with IT team & other stakeholders to ensure seamless data integration.
Build data quality control systems within the data pipelines, ensuring complete and accurate data matching the source information.
Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion. Support OCR-based data extraction and processing
Continuously seek out industry best practice and skills to develop new capabilities for data engineering at McCormick and help drive our digital transformation.
Education & Experience
3-5 years of experience with Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field.
Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets
Demonstrated ability coding in one or more languages (PySpark preferred)
Experience with data visualization software (Power BI preferred). Experience with building data pipelines
Demonstrated ability to manage multiple priorities simultaneously
Experience with Cloud based tools (Azure preferred)
Experience with an ERP system – SAP preferred.
Technical knowledge for Data environments, transformation, and ML Opps
Ability to connect the dots between complex data and business application
Technical knowledge for backend development
At McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values
