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我們做什麼
在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。
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我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.
Role reports to：
Data Engineering Manager位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
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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