Kenvue 目前正在招聘 a：
我们做什么
在 Kenvue，我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础，植根于科学，是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。
我们是谁
我们的全球团队由 ~ 22,000 名才华横溢的员工组成，他们的职场文化中，每个声音都很重要，每一个贡献都受到赞赏。 我们热衷于洞察， 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心，成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本，热切关怀，以科学赢得信任，以勇气解决——有绝佳的机会等着您！加入我们，塑造我们和您的未来。有关更多信息，请单击 here.
Role reports to：
Data Engineering Manager位置：
Asia Pacific, India, Karnataka, Bangalore工作地点：
混合你会做什么
As a Senior Data & Analytics Engineer, you will build, support, and optimize modern data solutions and analytical products across the Azure Data Platform. You’ll design and manage robust data pipelines (Azure Data Factory, Databricks, Data Lake, Synapse). You will collaborate closely with business stakeholders, data engineers, and data scientists to deliver reliable, secure, and scalable data products that drive decision-making—particularly within Supply Chain and CPG contexts.
Key Responsibilities:
Data Engineering
· Design, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.
· Build, scale, and harden data pipelines (internal & external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL.
· Own automation, observability, and monitoring frameworks—capturing operational KPIs and data quality metrics; set up alerting and runbooks.
· Deploy pipelines to production, manage compute resources, configure data attributes, set up monitoring tools, and ensure resilient operations.
· Monitor performance & stability, triage incidents, and adapt pipelines as data/models/requirements evolve.
· Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.
· Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.
· Partner with business, IT, and SMEs to translate requirements into scalable data products; lead solutioning and POC discussions.
· Preferred: Experience in CPG Supply Chain (planning, sourcing, manufacturing, logistics, customer service) and related KPIs.
Required Qualifications
· Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or related field.
· 4–6 years of relevant experience across Azure Data Engineering and Power BI.
· Hands-on expertise with:
o Azure Databricks (PySpark/Spark SQL)\Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL
o SQL/T-SQL (complex queries, stored procedures)
· Experience with Git/Bitbucket, Azure DevOps/Jenkins for CI/CD of data and BI assets.
· Strong scripting, data modeling, and programming fundamentals.
· Solid understanding of cloud architecture principles (security, scalability, reliability, cost).
· Excellent communication, stakeholder management, and the ability to mentor others.
Desired Qualifications
· Certifications:
o Microsoft Certified: Azure Data Engineer Associate (DP-203)
o Databricks Data Engineer Associate/Professional
· Experience with migration & modernization (from legacy ETL/BI to Azure-native).
· Preferred CPG/Supply Chain domain expertise.
· Master’s degree (e.g., Supply Chain/Analytics/IT) is a plus.
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