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PwC brand, metro location, and a generalist mid-level data engineer role increase candidate competition.
Azure-focused data engineering skills are transferable across industries but consulting experience adds moderate domain bias.
Explicit 6–8 years requirement, mandatory Azure Databricks/Fabric skills, and certifications make shortlisting highly strict.
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Own design and implementation of data migration, ingestion, and integration solutions using Microsoft Azure data stack (Azure Databricks, Fabric).
Perform data engineering and/or data analysis including source-to-target data mapping, data profiling, and data quality assurance.
Collaborate with business stakeholders to analyse requirements and support operational optimisation through Microsoft technology stack including Azure, .Net, C#, SQL, React, and Node.
6-8 years total work experience with at least 3 years recent experience in data engineering.
Mandatory skills include data engineering or data analysis, Microsoft Azure data stack (Azure Databricks, Fabric), and Microsoft technology stack (.Net, C#, SQL).
Must hold at least one professional certification among DP600, DP700, DP080, DP203.
Bachelor's degree in Engineering (BE/BTech) is required.
Experienced in handling large offshore Agile and DevOps projects focusing on Microsoft data and application technologies.
Proven ability to design complex data solutions including migration, ingestion, and integration in Azure cloud environments.
Comfortable collaborating directly with business stakeholders to translate business needs into technical data solutions.