Analytics Engineer

Cosa facciamo

A Kenvue, ci rendiamo conto dello straordinario potere della cura quotidiana. Costruiti su oltre un secolo di tradizione e radicati nella scienza, siamo la casa di marchi iconici, tra cui NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® che già conosci e ami. La scienza è la nostra passione; la cura è il nostro talento.

Chi siamo

Il nostro team globale è composto da ~ 22.000 persone brillanti con una cultura del posto di lavoro in cui ogni voce conta e ogni contributo è apprezzato. Siamo appassionati di intuizioni, innovazione e impegno a fornire i migliori prodotti ai nostri clienti. Con competenza ed empatia, essere un Kenvuer significa avere il potere di avere un impatto su milioni di persone ogni giorno. Mettiamo le persone al primo posto, ci prendiamo cura di noi, ci guadagniamo la fiducia della scienza e risolviamo con coraggio - e abbiamo brillanti opportunità che ti aspettano! Unisciti a noi per plasmare il nostro futuro e il tuo. Per ulteriori informazioni, fare clic su here.

Role riporta a:

Ubicazione:

Luogo di lavoro:

Cosa farai

Job Overview

We are looking for a Analytics Engineer with 4+ years of experience to help build and optimize our next-generation data platform using Microsoft Fabric. You will be responsible for designing scalable data pipelines, managing Lakehouse/Warehouses, and ensuring our data architecture supports a "Plug-and-Play" model for downstream business projects. The ideal candidate is a hands-on engineer who can translate complex data requirements into efficient, governed, and reusable data assets.

---

Key Responsibilities

1. Fabric Ecosystem Engineering

· End-to-End Pipeline Development: Design and implement data ingestion and transformation workflows using Fabric Data Factory (Pipelines & Dataflows Gen2).

· Lakehouse & Warehouse Management: Architect and maintain OneLake storage structures, including Lakehouse (Delta Parquet) and Data Warehouse environments, to ensure a single source of truth.

· KPI Hub Integration: Contribute to the development of the centralized KPI Hub by building reusable datasets that reduce data redundancy across the enterprise.

2. Data Modeling & Transformation

· Advanced Spark/Python: Utilize Fabric Notebooks and PySpark for complex data engineering tasks, optimization, and large-scale processing.

· Semantic Layer Design: Build and optimize Power BI Semantic Models (Direct Lake mode) to provide high-performance reporting capabilities without data duplication.

· Data Quality & Governance: Implement automated data validation checks and metadata management to ensure compliance with GxP, SOX, and PII standards.

3. Automation & Platform Operations

· Fabric CI/CD: Implement version control and deployment automation for Fabric items using Git integration and deployment pipelines.

· Cost & Performance Optimization: Monitor capacity utilization and optimize queries/storage to ensure the platform remains cost-efficient.

· Technical Documentation: Create detailed data lineage maps, schema definitions, and deployment runbooks to support team collaboration.

---

Required Qualifications

· Experience: 4+ years of total experience in Data Engineering, with at least 1 year of hands-on experience in Microsoft Fabric or deep expertise in the Azure Data Stack (Lakeshouse, Data Factory, Databricks).

· Technical Proficiency:

o Strong SQL and PySpark skills for data manipulation.

o Hands-on experience with Delta Lake and Parquet formats.

o Experience with Power BI and DAX is highly preferred.

· Cloud Knowledge: Firm understanding of Azure networking, security (Managed Identities, Service Principals), and Entra ID (Azure AD) integration.

· Problem Solving: Ability to work in a fast-paced environment and deliver scalable solutions that align with a broader Solution Architecture.

---

Desired Qualifications

· Certification: DP-600 (Microsoft Fabric Analytics Engineer Associate) is a significant plus.

· Architectural Mindset: Familiarity with broader solution architecture principles is a strong plus.

Se sei un individuo con disabilità, controlla il nostro "Pagina di assistenza per disabili per informazioni su come richiedere un alloggio.