Senior Data Analyst

Kenvue · Bengaluru

  • Experience3–6 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted2 Sept 2026
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About Kenvue

Kenvue is hiring in Bengaluru in consumer goods. This role looks for around 3+ years of experience.

Skills

  • Azure Data Factory
  • Azure Databricks
  • Microsoft Fabric
  • Azure Data Lake
  • Azure Synapse
  • Azure SQL
  • SQL
  • T-SQL
  • Power BI
  • Git
  • Bitbucket
  • Azure DevOps
  • Jenkins
  • CI/CD
  • PySpark
  • Spark SQL
  • data modelling
  • cloud architecture
  • data governance
  • RBAC
  • Azure Key Vault
  • RLS/OLS
  • DevOps
  • DataOps
  • Agile

The role

A data platform engineer at a consumer goods company builds Azure Data Factory pipelines and Azure Databricks data products for supply chain analytics, applying Microsoft Fabric and Power BI to deliver governed, scalable decision support.

Full job description

As a Senior Data and Analytics Engineer, you will build, support, and optimise 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.

Responsibilities:

Design, develop, customise, 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 optimisation, 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.

Requirements:

Preferred: Experience in CPG Supply Chain (planning, sourcing, manufacturing, logistics, customer service) and related KPIs.

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: Azure Databricks (PySpark/Spark SQL)\Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL. 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 modelling, and programming fundamentals.

Solid understanding of cloud architecture principles (security, scalability, reliability, cost).

Excellent communication, stakeholder management, and the ability to mentor others.