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Enterprise Data & Analytics Lead Integration Engineer

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ID:
2507041756W

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Kenvueは現在、以下求人を募集しております。

Enterprise Data & Analytics Lead Integration Engineer

私たちがしていること

私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。 

Who We Are

私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。 

Role reports to:

Sr. Director, Enterprise Data Products

場所:

Asia Pacific, India, Karnataka, Bangalore

勤務地:

フルオンサイト

あなたがすること

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, Integration Products

Location: Bangalore, India

Travel %: up to 10%

 

What you will do 

As the Lead, Integration Engineering, you will design, build and prototype integration solutions, primarily APIs and Event-Driven Architectures, to empower our Data & Analytics teams with timely and relevant data.  You’ll partner with our Data Product Owners to enable and elevate Integrations as a Product, in order to drive more findability, accessibility, interoperability and re-usability within the integration landscape.

Key Responsibilities

·       Lead a cross-vendor team of platform & product owners, technical experts, & other specialists to shape, build and deliver integration solutions for Data Products, in order to optimize upon investments and aligning integrations against findability, accessibility, interoperability and re-usability goals

·       Partner with the Director of Integration Products to craft an integration strategy, with a focus on Data & Analytics use cases, to address immediate challenges, simplify integration landscape, utilize common patterns and standard technologies

·       Engage the necessary and appropriate resources across product lines and map integration patterns with solutions and development team capacities

·       Implement best practices around systems integration, security, performance and data management

·       Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions

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

·       Define development guidelines and standards to be utilized in application development and integration.

·       Implement hybrid integration solutions addressing data and application integration needs, and cloud-to-cloud, cloud-to-on-premise, and on-premise-to-on-premise scenarios

·       Continuously search for ways to eliminate redundancies & inefficiencies while streamlining costs to reinvest in new innovations through technology lifecycle management & total cost of ownership

·       Drive innovation & thought leadership by anticipating & responding to rapidly changing industry trends, translating relevant insights into solutions that add new value

·       Mentor and train colleagues junior team members

 

What We Are Looking For

Required Qualifications

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

·       6 – 8 years of total work experience, with at least 4 years of experience in APIs and Event-Driven Architectures

·       Strong hands-on Python programming skills

·       Experience with Microsoft Azure or AWS and data management tools such as Azure Data factory, Data Lake, Synapse, Databricks and Snowflake

·       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 like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines

 

Desired Qualifications

·       Subject matter expert for APIs and Event-Driven Integrations with experience in Azure architecture design is preferred

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

·       Experience in the architecture and design of services using Azure architecture is a plus

·       Experience with IoT integrations is a plus

·       Experience with Kong API gateway, Kafka, and/or Python FastAPI is preferred

 

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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