Finance & Banking • Bangalore, Karnātaka, IN
Kenvue is currently recruiting for a:
What we do
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® that you already know and love. Science is our passion; care is our talent.
Who We Are
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.We are 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 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 EngineeringLocation:
Asia Pacific, India, Karnataka, BangaloreWork Location:
HybridWhat you will do
As a Senior Data & Analytics Engineer, you will build, support, and optimize modern data solutions and analytical products across the Azure Data Platform. You’ll design and manage robust data pipelines (Azure Data Factory, Databricks, Data Lake, Synapse). You will collaborate closely with business stakeholders, data engineers, and data scientists to deliver reliable, secure, and scalable data products that drive decision-making—particularly within Supply Chain and CPG contexts.
Key Responsibilities:
Data Engineering
· Design, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.
· Build, scale, and harden data pipelines (internal & external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL.
· Own automation, observability, and monitoring frameworks—capturing operational KPIs and data quality metrics; set up alerting and runbooks.
· Deploy pipelines to production, manage compute resources, configure data attributes, set up monitoring tools, and ensure resilient operations.
· Monitor performance & stability, triage incidents, and adapt pipelines as data/models/requirements evolve.
· Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.
· Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.
· Partner with business, IT, and SMEs to translate requirements into scalable data products; lead solutioning and POC discussions.
· Preferred: Experience in CPG Supply Chain (planning, sourcing, manufacturing, logistics, customer service) and related KPIs.
Required Qualifications
· Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or related field.
· 4–6 years of relevant experience across Azure Data Engineering and Power BI.
· Hands-on expertise with:
o Azure Databricks (PySpark/Spark SQL)\Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL
o SQL/T-SQL (complex queries, stored procedures)
· Experience with Git/Bitbucket, Azure DevOps/Jenkins for CI/CD of data and BI assets.
· Strong scripting, data modeling, and programming fundamentals.
· Solid understanding of cloud architecture principles (security, scalability, reliability, cost).
· Excellent communication, stakeholder management, and the ability to mentor others.
Desired Qualifications
· Certifications:
o Microsoft Certified: Azure Data Engineer Associate (DP-203)
o Databricks Data Engineer Associate/Professional
· Experience with migration & modernization (from legacy ETL/BI to Azure-native).
· Preferred CPG/Supply Chain domain expertise.
· Master’s degree (e.g., Supply Chain/Analytics/IT) is a plus.
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
Kenvue is currently recruiting for a:
What we do
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® that you already know and love. Science is our passion; care is our talent.
Who We Are
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.We are 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 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 EngineeringLocation:
Asia Pacific, India, Karnataka, BangaloreWork Location:
HybridWhat you will do
As a Senior Data & Analytics Engineer, you will build, support, and optimize modern data solutions and analytical products across the Azure Data Platform. You’ll design and manage robust data pipelines (Azure Data Factory, Databricks, Data Lake, Synapse). You will collaborate closely with business stakeholders, data engineers, and data scientists to deliver reliable, secure, and scalable data products that drive decision-making—particularly within Supply Chain and CPG contexts.
Key Responsibilities:
Data Engineering
· Design, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.
· Build, scale, and harden data pipelines (internal & external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL.
· Own automation, observability, and monitoring frameworks—capturing operational KPIs and data quality metrics; set up alerting and runbooks.
· Deploy pipelines to production, manage compute resources, configure data attributes, set up monitoring tools, and ensure resilient operations.
· Monitor performance & stability, triage incidents, and adapt pipelines as data/models/requirements evolve.
· Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.
· Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.
· Partner with business, IT, and SMEs to translate requirements into scalable data products; lead solutioning and POC discussions.
· Preferred: Experience in CPG Supply Chain (planning, sourcing, manufacturing, logistics, customer service) and related KPIs.
Required Qualifications
· Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or related field.
· 4–6 years of relevant experience across Azure Data Engineering and Power BI.
· Hands-on expertise with:
o Azure Databricks (PySpark/Spark SQL)\Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL
o SQL/T-SQL (complex queries, stored procedures)
· Experience with Git/Bitbucket, Azure DevOps/Jenkins for CI/CD of data and BI assets.
· Strong scripting, data modeling, and programming fundamentals.
· Solid understanding of cloud architecture principles (security, scalability, reliability, cost).
· Excellent communication, stakeholder management, and the ability to mentor others.
Desired Qualifications
· Certifications:
o Microsoft Certified: Azure Data Engineer Associate (DP-203)
o Databricks Data Engineer Associate/Professional
· Experience with migration & modernization (from legacy ETL/BI to Azure-native).
· Preferred CPG/Supply Chain domain expertise.
· Master’s degree (e.g., Supply Chain/Analytics/IT) is a plus.
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
