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PwC brand and Bangalore metro plus a mid-level generalist data role produce medium competition.
Azure cloud data engineering skills are moderately transferable across industries but require cloud-specific experience.
Mandatory 6+ years plus must-have Azure Databricks, Python and SQL skills make filtering strict.
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Design, develop, and manage scalable and secure data pipelines on Azure using Databricks and Azure Data Factory.
Write efficient Python code for cloud automation, data processing, and orchestration in Azure cloud environment.
Architect and optimize enterprise-level cloud data solutions including data warehousing and integration with BI tools.
6+ years overall experience in cloud or data engineering roles with at least 2-3 years hands-on on Azure cloud services.
Strong Python programming skills with 2-3 years hands-on development experience (mandatory).
Strong SQL skills, Azure Databricks expertise, Azure Data Factory, Azure Blob Storage/Data Lake, and Apache Spark experience mandatory.
Education: BE/B.Tech/MBA/MCA; Certifications: Not explicitly mentioned in the JD.
Experienced in architecting cloud-native data platforms focusing on scalability, security, and ETL optimization within Azure ecosystem.
Proven Python developer with cloud SDK experience and ability to automate and orchestrate complex data workflows.
Familiar with data modeling, data warehousing, and integration of analytics and BI use cases in enterprise environments.