Lead Data Engineer II, IT
McCormick & Company, Incorporated (company site, opens in a new tab)8+ yrsGurugramOn-siteDirect career pageEst. 25–40 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data pipelines integrating data from 5-10+ source systems to support analytics and AI needs.
- Design, develop, and execute ETL/ELT solutions emphasizing data quality, security, pipeline resiliency, and performance optimization.
- Collaborate with data product managers and data science teams to deliver and optimize data products, automate processes, and provide expert support for data pipeline issues.
Minimum Requirements
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field.
- 8+ years of data engineering experience.
- Experience coding in PySpark (preferred) and building production-grade data pipelines.
- Microsoft Certified: Azure Data Engineer (DP203) or Fabric Data Engineer Associate or related cloud certifications.
Ideal Candidate Profile
- Experienced in managing large-scale data pipelines involving multiple source systems and data product deliveries.
- Proficient in Azure Synapse, PySpark, APIs, SQL, and CI/CD for data pipeline automation and optimization.
- Able to drive process improvements focused on scalability, cost optimization, and performance across enterprise data solutions.