Senior Data Engineer - T&T
McCormick & Company, Incorporated (company site, opens in a new tab)3–6 yrsGurugramOn-siteDirect career pageEst. 12–22 LPA
Posted on 29 Aug
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data pipelines integrating data from 2-5 source systems to support analytics and AI delivery.
- Design, execute, and optimize ETL/ELT solutions ensuring data quality, security, performance, and cost-effectiveness, using Azure Synapse, PySpark, SQL, and APIs.
- Provide expert-level support to data teams, troubleshoot pipeline issues, and implement process improvements including CI/CD for data pipeline deployment.
Minimum Requirements
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field required.
- 3-6+ years of data engineering experience required with demonstrated production-grade pipeline ownership.
- Microsoft Certified: Azure Data Engineer (DP-203) OR Microsoft Certified: Fabric Data Engineer Associate OR related cloud certifications required.
- No employment visa sponsorship upon hire or in the future as per company policy.
Ideal Candidate Profile
- Experienced in designing and managing scalable, reliable data pipelines with strong coding ability in PySpark or similar languages.
- Proficient in Azure Synapse, CI/CD implementation for data pipelines, data quality frameworks (e.g., Great Expectations), and performance tuning with partitioning/indexing.
- Can multitask across priorities and collaborates effectively with data science, AI, and product teams to optimize data solutions.