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Data Analytics Operations Lead Engineer

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2507041757W

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Kenvue 目前正在招聘 a:

Data Analytics Operations Lead Engineer

我們做什麼

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:

Sr. Director, Enterprise Data Products

位置:

Asia Pacific, India, Karnataka, Bangalore

工作地點:

完全現場

你會做什麼

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, Data Products & Operations

Location: Bangalore, India

Travel %: up to 10%

 

What you will do 

Data & Analytics Operations Engineer (often called a DataOps Engineer) is a specialized role focused on the "production line" of data. They bridge the gap between data engineering (which builds the systems) and data analysis (which uses the data), ensuring that pipelines are automated, reliable, and secure. 

Core Responsibilities

  • Pipeline Engineering & Orchestration: Designing and/or maintaining scalable ETL/ELT pipelines using Azure Data Factory (ADF) or Databricks Workflows for ingestion and Azure Databricks (PySpark/SQL) for complex transformations.

  • Lakehouse Management: Implementing and optimizing Medallion Architecture (Bronze, Silver, Gold layers) using Delta Lake to ensure data consistency through ACID transactions.

  • DataOps & Automation: Automating deployments in a scrum of scrum environment, testing, and monitoring of data workflows using Azure DevOpsGitHub Actions, or CI/CD pipelines for Databricks notebooks and jobs.

  • User Feedback: Manage tickets intake and drive appropriate resolution by collaborating with other DevOps or Data Engineers.   

  • Governance & Security: Managing centralized access control, data lineage, and auditing across workspaces using Unity Catalog.

  • Performance & FinOps: Tuning Spark jobs (partitioning, Z-ordering, caching) for performance and monitoring cluster usage to optimize Azure and Databricks costs.

  • Operational Support: Providing L2/L3 support for production job failures, performing root cause analysis (RCA), and ensuring strict adherence to Service Level Agreements (SLAs)

  • Collaboration: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. 

  • Communication: Excellent communication and articulation skills especially when engaging with stakeholders.

Required Technical Skills

  • Cloud Platform: Mastery of Azure services, specifically ADLS Gen2Azure Data FactoryAzure Synapse, and Azure Key Vault.

  • Databricks Ecosystem: Expert knowledge of PySparkSpark SQLDelta Live Tables (DLT), and Databricks Workflows.

  • Programming: High proficiency in Python and SQL; experience with Scala or PowerShell is often a plus.

  • Infrastructure as Code (IaC): Experience in provisioning and managing Azure data resources.

  • Monitoring: Familiarity with Azure MonitorLog Analytics, and Application Insights for proactive alerting. 

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.

  • Experience: 4 – 8 years in data engineering or DataOps, with at least 2 years specifically focused on the Databricks/Azure stack.

Preferred Certifications:

  • Microsoft Certified: Azure Data Engineer Associate

  • Databricks Certified Professional Data Engineer 

 

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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