Analytics Data Engineer

Analytics Data Engineer

Lo que hacemos

En Kenvue, nos damos cuenta del extraordinario poder del cuidado diario. Sobre la base de más de un siglo de herencia y arraigados en la ciencia, somos el hogar de marcas icónicas, incluidas NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® y BAND-AID® que ya conoces y amas. La ciencia es nuestra pasión; El cuidado es nuestro talento.

Quiénes somos

Nuestro equipo global está formado por ~ 22.000 personas brillantes con una cultura laboral en la que cada voz importa y cada contribución es apreciada. Nos apasionan las ideas, innovación y comprometidos con la entrega de los mejores productos a nuestros clientes. Con experiencia y empatía, ser un Kenvuer significa tener el poder de impactar a millones de personas todos los días. Ponemos a las personas en primer lugar, nos preocupamos ferozmente, nos ganamos la confianza de la ciencia y resolvemos con coraje, ¡y tenemos oportunidades brillantes esperándote! Únase a nosotros para dar forma a nuestro futuro y al suyo. Para obtener más información, haga clic en aquí.

Role reports to:

Senior Manager - Forecasting & Analytics

Ubicación:

Asia Pacific, India, Karnataka, Bangalore

Lugar de trabajo:

Híbrido

What will you

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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