Kenvueは現在、a:
私たちがしていること
Kenvueで、日常のケアの並外れた力を実感します。100年以上にわたる伝統を基盤に、科学に根ざした当ホテルは、ニュートロジーナ®、アヴェーノ®、タイレノール®、リステリン®、ジョンソンズ®、バンドエイド®など、すでにお馴染みのアイコニックなブランドを展開しています。科学は私たちの情熱です。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~22,000人の優秀な人々で、すべての声が重要で、すべての貢献が評価される職場文化を持っています。 私たちは洞察に情熱を注いでいます。 革新とお客様に最高の製品を提供することに取り組んでいます。専門知識と共感力を持つKenvuerであることは、毎日何百万人もの人々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、熱心に気を配り、科学で信頼を勝ち取り、勇気を持って解決します。そして、素晴らしい機会があなたを待っています!私たちと一緒に、私たちの、そしてあなたの未来を形作りましょう。詳細についてはをクリックしてくださいhere.
Role reports to:
Data Engineering 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
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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