Job
Description
Role Summary: As a Data Engineer at McCormick, you will play a pivotal role in delivering the design, development, implementation, and maintenance of data and analytics solutions from simple to complex and supporting McCormick business units with their data and analytics needs. Your responsibilities will include delivering and supporting analytics systems, tooling, and solutions, researching new features, developing innovative automations, supporting existing analytics solutions, and collaborating with third-party vendors. You will support Data Scientists and Data Analysts to convert business expectations into data solutions and data models usable by business to deliver analysis, reporting, and data-driven recommendations to stakeholders and executives. The role will report to the Azure Analytics Product Owner and requires close collaboration with the entire Enterprise Data Services team to conceptualize, visualize, and build an enterprise data management framework. Key Responsibilities: Design and implement scalable ELT pipelines on an Azure analytics platform to ingest, harmonize and transform data into data models optimized for analytic consumption (Power BI, AI). Write efficient and scalable code to transform and clean large volumes of data. Ensure performance, security and data integrity across end-to-end data processing. Cooperate with cross-functional teams to design and deliver new data solutions and improve and enrich existing ones. Requirements : 8+ years of total experience required. Proven experience with Azure Analytics toolset (Data Factory, Synapse, Storage Accounts, Key Vault). Proficiency with T-SQL, Python, PySpark. Performance tuning experience within the Azure analytics environment: parquet/delta files, SQL databases, data warehouses, ingestion tuning, cache optimization, etc. Very good communication skills including ability to interact closely with business stakeholders. Experience with Agile methodologies (Azure DevOps). Familiar with SAP and/or SAP BW. Power BI knowledge at level that will allow smooth cooperation with Power BI Engineering team and business Power BI developers. Experience with CI/CD tools (Azure DevOps, Git). Desired Experience: Experience with Microsoft Fabric. Familiar with Data Governance / MS Purview. Experience with ML/AI. Show more Show less
