Kenvueは現在、以下求人を募集しております。
Lead Data Engineer [Returnship Program]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:
Manager場所:
Asia Pacific, India, Karnataka, Bangalore勤務地:
ハイブリッドあなたがすること
Kenvue is currently recruiting for the Returnship Program
Lead Data Engineer
This position is based at Bangalore, Kenvue Global Capability Center, reporting into the Manager.
About the Kenvue Returnship Program
The Kenvue Returnship Program is a specialized initiative designed to support individuals who have had a career break of 12-36 months and are looking to return to the workforce. At Kenvue, everyday care is for everyone, everywhere. We foster an inclusive and trusting workplace culture to create a sense of belonging for all, where every voice matters because our performance depends on it. We want Kenvuers to feel inspired by the growth opportunities available to shape their personal journey and be rewarded for their impact. The Kenvue Returnship Program focuses on leveraging returning talent to help build a more diverse and inclusive workforce.
What You Will Do
Kenvue is hiring a Lead Data Engineer [Returnship Program].
.Subject Matter Expert for Azure Data, Analytics & AI with experience Azure architecture design preferred.
.Good understanding of migration and modernization strategies and approaches.
· Helping business migrate and/or build Data, Analytics & AI workloads throughout their Azure journey towards production and expanding the azure infrastructure usage.
· Partnering with various Azure Engineering subject matter experts including the project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts.
· Staying current on latest Azure/Cloud innovations in order to conduct experiments, drive product improvement, and act as an Azure subject matter trainer for other engineers.
· Development, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related instruments/instances
· Create and run complex queries and automation scripts for operational data processing
· Test the reliability and performance of each part of a system and cooperate with the testing team
· Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
· Responsible for setting up tools to view data, generate reports, and create visuals
· Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.
· Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.
· As per organizational & project priority responsibilities can be added later
Key Responsibilities
· Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
· Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
· Responsible for implementing best practices around systems integration, security, performance and data management.
· Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
· Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
· Partner with the business, IT, and technical subject matter experts to ensure execution of enterprise-wide data engineering products & platform development.
· Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality.
· Develop and optimize procedures to “Productionalize” data science models.
· Manage & support large-scale experimentation done by data scientists.
· Design and prototype new approaches and build solutions at scale.
· Research and cultivate in state-of-the-art data engineering methodologies.
· Establish practices of documentation for learnings and knowledge transfer.
· Design and audit reusable packages or libraries
· Understanding of cloud architecture principles and best practices
· Experience in designing 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.
What We Are Looking For
Required Qualifications
. Required Years of Related Experience: 7-10 Years
. Excellent understanding of ETL cycle
· Experience in the architecture and design of services using Azure architecture is added advantage · Azure data engineering certification is must
· Experience in using of Python/ PySpark and/or Scala for data engineering.
· Understanding of data types/ handling of different data models.
· Desirable to have experience with Spark, Kafka, Flask, Python
· Experience with the Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Synapse, Databricks, deployment of Web Application (Azure) is must
· Good scripting and programming skill
What’s In It For You
- Competitive Benefit Package
- Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More!
- Learning & Development Opportunities
- Employee Resource Groups
- This list could vary based on location/region
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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