Kenvue 目前正在招聘 a：
我們做什麼
在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。
我們是誰
我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.
Role reports to：
Manager位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
Position Summary
Provide brief and concise statement explaining the main purpose for the existence of this position. Provide a brief summary of the role.
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
Good understanding of Data factory, Databricks, Azure SQL
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.
Support for setting up tools to view data, generate reports, and create visuals
Support to Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.
As per organizational & project priority responsibilities can be added later
Major Duties & Responsibilities
In order of importance, briefly describe, in sentence form, the essential functions/major responsibilities of this position (principal duties and responsibilities of the position) as it exists today. Describe the job, not the person in the job. Each item listed below should be an essential function/major responsibility of the position, not a day-to-day activity.
Typically, job descriptions should contain no more than seven or eight major responsibilities ranked in order of highest percentage of time to least.
Approximate Percentage of Time
Tasks/Duties/Responsibilities
100%
Support 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.
Support for implementing 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.
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.
100%
Total
Other Duties
Describe important tasks or duties, not mentioned above, that are performed infrequently and are not critical to accomplishing the essential functions of the job.
Participating in other organization wide activities as part of the duty.
Required Qualification
Consider and identify qualifications potential applicants must possess in order to be considered for the position. Basic Qualifications must be clearly stated, objective and relevant to this particular position.
Required Minimum Education:
Other:
Required Years of Related Experience 2-4 Years
Required Knowledge, Skills and Abilities:
(Include any required computer skills, certifications, licenses, languages, etc.)
Excellent understanding of ETL cycle
Experience in the design and bu of services using Azure architecture is added advantage
Azure data engineering certification is good
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, Neo4J Graph database
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 skills.
Travel on the Job:
Indicate whether this position requires travel.
Yes/No
Percentage Traveled: __%
Type of Travel Required:
Domestic
International
People Management Experience:
Indicate whether supervisor/people management experience is required.
Yes/No
Required Years of People Management Experience:
Preferred Qualifications
Consider and identify qualifications that are not required to perform the job but would be very helpful to performing the job.
Preferred Minimum Education: Bachelor of Engineering
Other: Azure Data Engineering Certification
Preferred Area of Study: Data Engineering, Databricks,
Preferred Related Industry Experience (if applicable): Manufacturing & Logistics, IT Service
Preferred Knowledge, Skills and Abilities:
(Include any preferred computer skills, certifications, licenses, languages, etc.)
· Azure Architect
· Databricks
· Azure Data Engineering
· SQL
· PLSQL
· DevOps
Key Working Relationships
Identify the most important working relationships with people inside and outside the company including customers, vendors, associations, etc. Briefly describe the nature of the contacts.
Internal
JJT, SC Functions, R&D, Commercial business partners; Leadership Teams
External
Vendors, Contractors
如果您是殘障人士，請查看我們的 殘障人士援助頁面瞭解如何申請便利
