Sr. Analyst, Data Engineering

Sr. Analyst, Data Engineering

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 :

Data Engineering Manager

Lieu :

Asia Pacific, India, Karnataka, Bangalore

Lieu de travail :

Hybride

Ce que tu vas faire

Sr. Analyst, Data Engineering

This position reports to the Manager, Data Engineering and is based at Bangalore, India.

Role reports to: Manager, Data Engineering

Location: Bangalore, India

Travel %: up to 10%

What you will do:

As the Sr. Analyst, 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 Azure Data Platform and Azure Databricks. 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
• Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products
• Adhere to 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
• Deploy data models into production environments by enriching the model with data stored in a Data Lakes or coming directly from data sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc. 
• Monitor the overall performance and stability of the system; adjust and adapt automated pipeline as data, models, and/or requirements change 
• Work with the Data Asset and Capability teams to identify the right data sources and finalize the data architectures for optimal data extraction and transformation
• Test the reliability and performance of data engineering pipelines and support testing team with data validation activities
• Partner with various Azure Engineering subject matter experts including project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts
• Research and cultivate in state-of-the-art data engineering methodologies, drive product innovation, and act as an Azure subject matter expert for other engineers

What We Are Looking For 

Required Qualifications:

• Bachelor's degree in engineering, computer science, or related field.
• 4 – 6 years of total work experience, with at least 2 years of experience in Azure Data Engineering tool stack
• At least one key data engineering professional certification (e.g., Azure Data Engineering, Azure Data Fabric, Databricks Data Engineering, etc.)
• Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, Data Lake, Synapse, Databricks (Pyspark)
• SQL Experience is required
• 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 like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines

Desired Qualifications:

• Subject matter expertise on Azure Data, Analytics & AI with experience in Azure architecture design is preferred
• Good understanding of migration and modernization strategies and approaches is preferred
• Experience with Spark, Kafka, and/or Flask is preferred
• Experience in the architecture and design of services using Azure architecture 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 
• 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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