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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
Job Description
We are excited to announce an opening for Analyst at Kenvue.
Please find below the details of the role and its responsibilities.
Skills Required:
Data Engineering, Azure Databricks, Python ADF or Azure Data Factory, SQL,
Experience Range:
2 - 4 years
Job Description:
Role: Analyst - Data Engineering
Analyst, Data Engineering
This position reports to the Manager, Digital Solutions and is based at Bangalore, India.
Who we are
At , we realize the extraordinary power of everyday care. Built on over a century of
heritage and rooted in science, we’re the house of iconic brands - including Neutrogena,
Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that
you already know and love. Science is our passion; care is our talent. Our global team is
made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation
and committed to delivering the best products to our customers. With expertise and
empathy, being a Kenvuer means having the power to impact the life of millions of people
every day. We put people first, care fiercely, earn trust with science and solve with
courage – and have brilliant opportunities waiting for you! Join us in shaping our
future–and yours. For more information, .
Role reports to: Manager, Digital Solutions
What you will do
As the Analyst Data Engineering you will play a pivotal role in supporting and
enhancing solutions that empower our Operations with timely and relevant data. You'll
explore new tools and build cost-effective solutions using the powerful Azure Data
Platform and Azure Databricks. In this position, you will also support our Data Engineering
team, driving and supporting key initiatives and business processes that shape the future
of our organization.
Key Responsibilities
What We Are Looking For
Required Qualifications
• Develop, customize, and manage integration tools, databases, warehouses, and
analytical systems
• Manage and scale ETL data pipelines from internal and external data sources to
support new product launches and drive data quality across data products
• Build and own the automation and monitoring frameworks that capture metrics and
operational KPIs for data pipeline quality and performance
• Implement best practices around systems integration, security, performance and data
management
• Collaborate with internal clients (Data engineering dev team, other support teams,
Data science team) to drive solutioning and POC discussions
• Partner with the business, IT, and technical subject matter experts to ensure execution
of enterprise-wide data engineering products & platform development
• Deploy data pipelines into production environments by enriching the model with data
stored in a Data Lakes or coming directly from data sources, configuring data
attributes, managing computing resources, setting up monitoring tools, etc.
• Monitor the overall performance and stability of the system; adjust and adapt
automated pipeline as data, models, and/or requirements change
• Work with the Data Asset and Capability teams to identify the right data sources and
understand and build and support the data architectures for optimal data extraction
and transformation for key business processes.
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