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Mid-senior Bangalore role with strong brand and common Azure data skillset increases candidate competition.
Azure data engineering skills are transferable, but CPG supply-chain and support focus raises domain specificity.
Explicit 6–8 years, mandatory Azure/Databricks skills and leadership make filters stringent.
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Lead a team to build, support, and optimize data solutions and analytical products on the Azure Data Platform focusing on supply chain and CPG data.
Design and manage robust data pipelines using Azure Data Factory, Databricks (PySpark/Spark SQL), Data Lake, Synapse, and Azure SQL for internal and external data sources.
Oversee production support including monitoring, incident management, and implementation of governance frameworks like CAPA, RCA, and FMEA to ensure system reliability and compliance.
6-8 years of relevant experience in Azure Data Engineering and Power BI.
Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or related field.
Hands-on expertise with Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synapse, Azure SQL, complex SQL/T-SQL, and major incident process frameworks.
Leadership and people management experience mandatory; Familiarity with DevOps/CI/CD practices and version control (Git/Bitbucket) desired.
Experienced in leading data engineering teams managing large-scale Azure data platforms and analytical solutions.
Skilled in implementing and managing end-to-end support operations including incident management, CAPA, RCA, and FMEA within digital product environments.
Strong collaborative skills with business stakeholders, subject matter experts, and cross-functional teams to deliver secure, scalable, and compliant data solutions aligned with business objectives.