Enterprise Data & Analytics Integrations Engineer

Enterprise Data & Analytics Integrations Engineer

Ce que nous faisons

Chez Kenvue, nous réalisons le pouvoir extraordinaire des soins quotidiens. S'appuyant sur plus d'un siècle d'héritage et enraciné dans la science, nous sommes la maison de marques emblématiques - dont NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® et BAND-AID® que vous connaissez et aimez déjà. La science est notre passion ; Le soin est notre talent.

Qui nous sommes

Notre équipe mondiale est composée de ~ 22 000 personnes brillantes avec une culture d'entreprise où chaque voix compte et chaque contribution est appréciée. Nous sommes passionnés par les idées, l'innovation et l'engagement à fournir les meilleurs produits à nos clients. Avec de l'expertise et de l'empathie, être un Kenvuer signifie avoir le pouvoir d'avoir un impact sur des millions de personnes chaque jour. Nous donnons la priorité aux personnes, nous nous soucions farouchement, nous gagnons la confiance grâce à la science et nous résolvons les problèmes avec courage - et nous vous offrons de brillantes opportunités ! Joignez-vous à nous pour façonner notre avenir et le vôtre. Pour plus d'informations, cliquez sur ici.

Role relève à :

Sr. Director, Enterprise Data Products

Lieu :

Asia Pacific, India, Karnataka, Bangalore

Lieu de travail :

Entièrement sur place

Ce que tu vas faire

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 Integration Engineer, you will 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

·       Partner with a cross-vendor team of platform & product owners, technical experts, & other specialists to 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

·       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

·       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

 

What We Are Looking For

Required Qualifications

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

·       3-5 years of total work experience, with at least 1-2 years of experience in APIs and Event-Driven Architectures

·       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

·       Experience with 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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