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Strong PwC brand, mid-level experience, metro location, and broad Azure/Data skillset increase competition.
Core data engineering skills are transferable but strong Azure/Databricks requirements raise domain specificity.
Explicit 6-8 years, mandatory Azure Databricks/Databricks-related skills and certification requirements increase strictness.
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Own and implement data engineering and data analysis solutions primarily using Microsoft Azure data stack including Azure Databricks and Fabric.
Design and execute migration, ingestion, and integration solutions ensuring data quality, profiling, and source-to-target mapping.
Collaborate with business stakeholders to understand requirements and support operational efficiency improvements through data initiatives.
6-8 years total work experience with more than 3 years in recent data engineering roles.
Mandatory skills: Data Engineering and/or Data Analyst expertise; Microsoft Azure data stack including Azure Databricks and Fabric; Microsoft technology stack (.Net, C#, SQL); React and Node.js; DevOps and Agile experience in large offshore engagements.
Mandatory professional certification in one of DP600, DP700, DP080, or DP203.
Bachelor's degree in Engineering (BE/BTech) is required.
Experienced in handling end-to-end data migration, ingestion, integration projects in large, offshore Agile environments.
Hands-on technical expertise across Microsoft Azure data technologies complemented by full stack skills including React and Node.js.
Proven ability to bridge technical data solutions and business user requirements effectively to drive operational improvements.