Kenvueは現在、以下求人を募集しております。
Analytics Data Engineer私たちがしていること
私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。
Who We Are
私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。
Role reports to:
Senior Manager - Forecasting & Analytics場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
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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