Enterprise Data & Analytics Operations Engineer

Responsibilities

• Monitor and maintain data pipelines using Azure Data Factory and Databricks
• Troubleshoot job failures and performance bottlenecks
• Perform data mapping and quality assurance checks
• Develop "Gold-layer" data products and structured datasets
• Write and optimize Spark SQL and PySpark code for automation
• Create technical documentation for data models and pipeline workflows
• Collaborate with senior engineers and stakeholders to translate business requirements

Requirements

• 1–3 years of professional experience in cloud data services
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field
• Proficiency in SQL and Python/PySpark
• Hands-on familiarity with Azure Databricks, ADLS, and Azure Data Factory
• Experience with Git and CI/CD workflows via Azure DevOps
• Experience with Job clusters, Unity Catalog, and Databricks Notebooks
• Strong root-cause analysis and communication skills

Preferred Qualifications

• Microsoft Certified: Azure Data Engineer Associate or Azure Fundamentals
• Databricks Certified Professional Data Engineer

About the Company

Kenvue is the house of iconic brands including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID®. We are a global team of ~22,000 people dedicated to delivering the best products through science and care.