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Tier-1 brand, mid-level generalist data role, metro location, and popular Azure skillset increase candidate competition.
Core data engineering skills transferable, but Azure-specific stack creates moderate industry bias.
Explicit 5-8 years requirement and multiple mandatory Azure data stack skills enforce strict technical filters.
Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and related Azure data services.
Manage ETL processing workflows including copy activities and custom Azure development for data integration.
Translate business requirements into functional specifications for reporting and analytics applications.
4-6 years of professional experience in data engineering or related field.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), delta lake, Azure Data Lake, Azure Synapse Analytics, SQL Data Warehouse, SQL, Python, and Cosmos DB.
Bachelor of Engineering (BE) degree.
Knowledge of semi-structured data and streaming data processing.
Experienced with end-to-end Azure data platform including Data Lake, Data Factory, Databricks, and Synapse analytics.
Capable of building and optimizing reliable, scalable ETL pipelines for complex business data scenarios.
Ability to interpret business requirements and implement functional specifications for reporting/BI solutions.