Summary from listing
McCormick is hiring a Data Engineer to build and maintain scalable data pipelines, ETL/ELT solutions, data models, and data products for analytics, AI, reporting, and data-driven recommendations. The role supports business users, Data Scientists, and Data Analysts, handles raw data from one to three source systems, and focuses on data quality, security, performance, cost optimization, troubleshooting, and documentation. Required qualifications include a bachelor’s degree in a relevant field, 3–5 years of data engineering experience, programming ability with PySpark preferred, and experience with SQL, data pipelines, unit testing, Git, medallion architecture, and data privacy. The posting lists Azure and GCP data tools, including Synapse, Fabric, Databricks, Azure Data Factory, and BigQuery.
