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Strong PwC brand, generalist Azure data-engineer title, and metro Noida location increase competition.
Cloud-native Azure Databricks data engineering skills are transferable across industries but require cloud-specific expertise.
Mandatory 6+ years plus specific Azure, Databricks, Python and SQL requirements enforce strict screening filters.
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Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
Write clean, efficient Python code for cloud automation, data processing, and orchestration on Azure cloud platform.
Architect and implement cloud-based data solutions integrating structured and unstructured data, optimizing ETL workflows and data models.
6+ years of overall experience in cloud or data engineering roles with 2-3 years hands-on Azure cloud services experience.
Strong Python programming skills with 2-3 years hands-on experience (Must-Have).
Strong SQL skills and hands-on experience with Azure Databricks (Must-Have).
Bachelor's degree (BE/B.Tech/MBA/MCA) required; specific Master of Business Administration field mentioned but not clearly mandatory.
Experienced Azure Cloud Data Engineer comfortable with advanced Python scripting and cloud SDKs.
Capable of leading code reviews and enforcing version control best practices (e.g., Git).
Skilled in designing enterprise-level data warehousing solutions and optimizing ETL pipelines within Azure ecosystem.