Data Engineering Assoc Principal Engineer
PepsiCo (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 28–48 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and mentor a team of data engineers responsible for building and operating scalable data pipelines and data products across various domains like revenue management, supply chain, manufacturing, and logistics.
- Own the design, architecture, and implementation of large and complex data applications primarily in cloud environments (Azure/AWS) with a focus on data lake infrastructure, data warehousing, and analytics.
- Drive automation, monitoring, and best practices implementation for data pipeline quality, performance, security, and productionization of data science models while collaborating with cross-functional teams and enterprise architects.
Minimum Requirements
- 10+ years of technology experience with at least 5+ years in software development, data engineering, and systems architecture.
- 4+ years experience with Data Lake Infrastructure, Data Warehousing, Analytics tools, and cloud data engineering on Azure/AWS; Azure cloud expertise mandatory.
- Proficiency in SQL optimization, Python/PySpark/Scala programming, and experience with MPP databases like Databricks, Redshift, Synapse, or Snowflake.
- Work Experience Required: 10+ years overall; Mandatory cloud and data engineering experience; Azure certification is a plus but not mandatory; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced technical leader with proven ability to manage and mentor data engineering teams and lead complex cloud-based data projects end-to-end.
- Strong expertise in cloud-native data solutions (especially Azure), data architecture, and integration of large-scale data pipelines to support business intelligence and machine learning.
- Capable of working cross-functionally with business users, data scientists, architects and driving change in a matrixed environment with focus on delivery, quality, and operational excellence.