Sr. Analyst, Data Engineering

Sr. Analyst, Data Engineering

Что мы делаем

At Kenvue, мы осознаем необычайную силу повседневной заботы. Основанный на более чем вековом наследии и уходящий корнями в науку, мы являемся домом культовых брендов, включая NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® и BAND-AID®, которые вы уже знаете и любите. Наука – наша страсть; забота – это наш талант.

Кто мы

Наша глобальная команда – это ~ 22 000 блестящих людей с культурой рабочего места, где каждый голос имеет значение, а каждый вклад ценится. Мы увлечены идеями, инновации и стремление поставлять нашим клиентам лучшие продукты. Обладая опытом и эмпатией, быть Kenvuer означает иметь возможность влиять на миллионы людей каждый день. Мы ставим людей на первое место, заботимся о настолько, завоевываем доверие наукой и смело решаем – и вас ждут блестящие возможности! Присоединяйтесь к нам, чтобы формировать наше будущее и ваше. Для получения дополнительной информации, нажмите here.

Role reports to:

Digital Solutions Manager

Местонахождение:

Asia Pacific, India, Karnataka, Bangalore

Место работы:

Гибрид

Что ты будешь делать

Sr. Analyst- Data Engineering

This position reports to Manager , Digital Solutions and is based at Bengaluru, IN

Who we are

At Kenvue, 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, click here.

Role reports to: Manager, Digital Solutions

Location: Bengaluru, IN

 

What you will do 

As a Sr. Analyst, Data Engineer, you will build, support, and optimize modern data solutions and analytical products across the Azure Data Platform. You’ll design and manage robust data pipelines (Azure Data Factory, Databricks, Data Lake, Synapse). You will collaborate closely with business stakeholders, data engineers, and data scientists to deliver reliable, secure, and scalable data products that drive decision-making—particularly within Supply Chain and CPG contexts.

Note: This role includes production support, monitoring, and potential rotational shift coverage (including night shifts if required).

Key Responsibilities:

 

Data Engineering & Platform Operations

• Design, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.

• Build, scale, and harden data pipelines (internal & external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL.

• Own automation, observability, and monitoring frameworks—capturing operational KPIs and data quality metrics; set up alerting and runbooks.

• Deploy pipelines to production, manage compute resources, configure data attributes, set up monitoring tools, and ensure resilient operations.

• Monitor performance & stability, triage incidents, and adapt pipelines as data/models/requirements evolve.

• Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.

• Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.

• Partner with business, IT, and SMEs to translate requirements into scalable data products; lead solutioning and POC discussions.

• Preferred: Experience in CPG Supply Chain (planning, sourcing, manufacturing, logistics, customer service) and related KPIs.

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or related field.

• 4–7 years of relevant experience across Azure Data Engineering.

• Hands-on expertise with:

  • Azure Databricks (PySpark/Spark SQL), Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL

  • SQL/T-SQL (complex queries, stored procedures)

• Experience with Git/Bitbucket, Azure DevOps/Jenkins for CI/CD of data and BI assets.

• Strong scripting, data modeling, and programming fundamentals.

• Solid understanding of cloud architecture principles (security, scalability, reliability, cost).

• Excellent communication, stakeholder management, and the ability to mentor others.

• Shift flexibility, including night shifts if required.

Desired Qualifications

• Certifications:

  • Microsoft Certified: Azure Data Engineer Associate (DP-203)

  • Databricks Data Engineer Associate/Professional

• Experience with migration & modernization (from legacy ETL/BI to Azure-native).

• Preferred CPG/Supply Chain domain expertise.

• Master’s degree (e.g., Supply Chain/Analytics/IT) is a plus.

What’s in it for you

• Competitive Total Rewards Package*

• Paid Company Holidays, Paid Vacation, Volunteer Time & More!

• Learning & Development Opportunities

• Employee Resource Groups 

 

*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.

 

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.

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