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PwC brand, mid-level data engineering, metro location, and broad skillset make competition high.
Specialized Azure Databricks and Microsoft-stack requirements moderate transferability across industries.
Explicit 6-8 years, mandatory Azure/Databricks skills and certifications create high shortlisting strictness.
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Own design and implementation of data engineering solutions using Microsoft Azure data stack including Azure Databricks and Fabric.
Analyze and integrate data from multiple diverse sources, ensuring data quality through profiling, mapping, and assurance.
Collaborate with business stakeholders to align data migration, ingestion, and integration solutions with operational needs.
6-8 years total work experience with more than 3 years in data engineering, including recent hands-on experience.
Bachelor's degree required (BE/BTech).
Mandatory skills: Data Engineering and/or Data Analyst skills; Microsoft Azure data stack (Azure Databricks, Fabric); Microsoft technology stack (.Net, C#, SQL); React and Node; DevOps and Agile experience in large offshore engagements.
Professional certification required: one of DP600, DP700, DP080, DP203.
Experienced in data engineering roles primarily using Microsoft Azure data services and related Microsoft technology stack.
Demonstrated ability to handle complex data migrations, ingestion, and integration projects in large offshore Agile environments.
Skilled in stakeholder collaboration to translate business requirements into data solutions with strong data quality governance.