Enterprise Data & Analytics Engineering

Enterprise Data & Analytics Engineering

O que fazemos

At Kenvue, percebemos o extraordinário poder do cuidado diário. Construída com base em mais de um século de herança e enraizada na ciência, somos a casa de marcas icônicas - incluindo NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® que você já conhece e ama. A ciência é a nossa paixão; O cuidado é o nosso talento.

Quem somos

Nossa equipe global é de ~ 22.000 pessoas brilhantes com uma cultura no local de trabalho onde cada voz é importante e cada contribuição é apreciada. Somos apaixonados por insights, inovação e comprometidos em entregar os melhores produtos aos nossos clientes. Com experiência e empatia, ser um Kenvuer significa ter o poder de impactar milhões de pessoas todos os dias. Colocamos as pessoas em primeiro lugar, nos importamos ferozmente, ganhamos confiança com a ciência e resolvemos com coragem - e temos oportunidades brilhantes esperando por você! Junte-se a nós para moldar nosso futuro - e o seu. Para obter mais informações, clique em aqui.

Role reporta para:

Sr. Director, Enterprise Data Products

Localização:

Asia Pacific, India, Karnataka, Bangalore

Local de trabalho:

Totalmente no local

O que você fará

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, Data Engineering

Location: Bangalore, India

Travel %: up to 10%

 

What you will do 

As the Lead, Data Engineering, you will play a pivotal role in designing and prototyping cutting-edge solutions that empower our operations with timely and relevant data. You'll explore new tools and build cost-effective solutions using the powerful Snowflake and AWS Data Platform. In this position, you will also lead and inspire our cross-vendor Data Engineering team, driving key initiatives that shape the future of our organization.

Key Responsibilities

·       Develop, customize, and manage integration tools, databases, warehouses, and analytical systems

·       Develop data pipelines from internal and external data sources to support new product launches and drive data quality across data products

·       Build automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance

·       Assist in implementation of best practices around systems integration, security, performance and data management

·       Partner with the business, IT, and technical subject matter experts to develop robust solutions.

·       Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality

·       Monitor the overall performance and stability of the system; adjust and adapt automated pipeline as data, models, and/or requirements change

·       Test the reliability and performance of data engineering pipelines and support testing team with data validation activities

·       Partner with various Snowflake Engineering subject matter experts including vendor partners, project managers and business team to scope and build customer facing content, modules, tools and proof of concepts

·       Research and cultivate state-of-the-art data engineering methodologies to develop into Snowflake technology stack developer

 

What We Are Looking For

Required Qualifications

Required Qualifications

·       Bachelor's degree in engineering, computer science, or related field.

·       2 – 5 years of total work experience, with at least 2 years of experience in Python /Snowflake Data Engineering tool stack

·       At least one key data engineering professional certification (e.g., SnowPro Associate and Core)

·       Experience with data management tools such as Airflow, Air byte and DBT

·       Good scripting, data modeling and programming skills

·       Understanding of cloud architecture principles and best practices

·       Experience in the design and build of end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards

·       Familiarity with version control systems such as GitHub, GitHub Actions and DevOps practices for CI/CD pipelines

 

Desired Qualifications

·       Hands on development experience in Snowflake architecture design is desired

·       Good understanding of migration and modernization strategies and approaches is preferred

·       Experience with Python, EKS Implementations, Spark, Kafka, and/or Flask is desired

What’s in it for you

·    Competitive Total Rewards Package*

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

• Learning & Development Opportunities

• Employee Resource Groups 

• This list could vary based on location/region

 

*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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