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Enterprise Data & Analytics Engineering

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ID:
2507041759W

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Kenvue rekrutiert derzeit für a:

Enterprise Data & Analytics Engineering

Was wir tun

Bei Kenvue erkennen wir die außergewöhnliche Kraft der täglichen Pflege. Aufbauend auf über einem Jahrhundert Tradition und verwurzelt in der Wissenschaft, sind wir das Haus der ikonischen Marken - darunter NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE®, JOHNSON'S® und BAND-AID®, die Sie bereits kennen und lieben. Wissenschaft ist unsere Leidenschaft; Fürsorge ist unser Talent.

Wer wir sind

Unser globales Team besteht aus ~ 22.000 brillanten Mitarbeitern mit einer Arbeitsplatzkultur, in der jede Stimme zählt und jeder Beitrag geschätzt wird. Wir sind leidenschaftlich an Erkenntnissen interessiert, Innovation und dem Engagement, unseren Kunden die besten Produkte zu liefern. Mit Fachwissen und Einfühlungsvermögen bedeutet ein Kenvuer zu sein, die Macht zu haben, jeden Tag Millionen von Menschen zu beeinflussen. Wir stellen den Menschen an die erste Stelle, kümmern uns leidenschaftlich, gewinnen Vertrauen in der Wissenschaft und lösen Lösungen mit Mut – und haben brillante Möglichkeiten, die auf Sie warten! Gestalten Sie mit uns unsere Zukunft – und Ihre. Für weitere Informationen, klicken Sie auf hier.

Rollenberichte an:

Sr. Director, Enterprise Data Products

Standort:

Asia Pacific, India, Karnataka, Bangalore

Arbeitsort:

Vollständig vor Ort

Was Sie tun werden

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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