





Tier-1 brand, mid-level generalist data role, and metro location create high competition.
Data engineering skills are moderately transferable across industries but Azure-specific consulting context limits full portability.
Explicit mandatory 6-8 years and specific Azure/Data engineering skill requirements indicate high strictness.
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Analyze client data needs and design, implement migration, ingestion, and integration solutions using Microsoft Azure data stack.
Perform data engineering tasks including source-to-target data mapping, data profiling, and data quality assurance across diverse data sources.
Collaborate with business stakeholders to ensure solutions meet operational and strategic requirements.
6-8 years total work experience with more than 3 years recent experience in data engineering.
Bachelor of Engineering (BE/BTech) degree required.
Hands-on experience with Microsoft Azure data stack (e.g., Azure Databricks, Fabric) and data engineering or data analyst skills.
Professional certification in DP600, DP700, DP080, or DP203 is mandatory.
Experienced in large offshore engagements and familiar with DevOps and Agile methodologies.
Strong background in Microsoft technology stack including Azure, .Net, C#, SQL; knowledge of React and Node is a plus.
Capable of end-to-end data solution design combining technical delivery with effective stakeholder communication.