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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：
Senior Manager - Forecasting & Analytics位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
We are seeking a highly skilled Analyst Data Engineer with over 4 years of experience to design, develop, and optimize our data architecture. The ideal candidate will bridge the gap between Operational Technology (OT) and data-driven insights, specializing in real-time data streaming and cloud-based analytics. You will be responsible for building robust data pipelines that ingest IoT telemetry and transform it into actionable intelligence.---
Key Responsibilities
· 1Data Pipeline Development: Design, develop and maintain scalable ETL/ELT pipelines using Databricks and PySpark to process large-scale structured and unstructured data.
· Streaming & IoT Integration: Implement real-time data streaming solutions and manage device connectivity/telemetry ingestion using Azure IoT services (IoT Hub, Event Hubs).
· Cloud Architecture: Leverage Microsoft Fabric and Azure Data Lake Storage to build modern data warehouse solutions.
· OT Collaboration: Interface with Operational Technology systems to ensure seamless data flow from edge devices to the cloud.
· Programming: Write clean, maintainable, and high-performance code in Python for data manipulation and automation tasks.
· Reporting Support: Collaborate with BI teams to structure data for optimized consumption in Power BI (PBI), ensuring high-level alignment with reporting requirements.
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Required Skills & Qualifications
· Experience: 4+ years of professional experience in Data Engineering or a related software development role.
· Technical Stack:
o Expertise in PySpark and Databricks for distributed data processing.
o Hands-on experience with Azure IoT Hub and Event Hubs for streaming.
o Strong proficiency in Python programming.
· Data Warehousing: Solid understanding of Delta Lake architecture and relational database design.
· Domain Knowledge: Familiarity with OT (Operational Technology) environments and industrial data protocols.
· Visualization: High-level understanding of Power BI data modeling and DAX.
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Desired Qualifications
· Architectural Mindset: Familiarity with broader solution architecture principles is a strong plus.
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