Lead Data Engineer II, IT
McCormick & Company, IncorporatedMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular Data Engineer title and metro Gurgaon location increase candidate competition.
Core data engineering skills are transferable, though Azure Synapse/Fabric emphasis raises moderate industry specificity.
Requires explicit 8+ years experience and specific Azure/PySpark pipeline skills, raising filtering strictness.
Job Description
Structured overview of role & requirementsAbout 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.