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Tier-1 brand, metro Bangalore, mid-level generalist title, and broad Azure/Databricks requirements.
Azure data engineering skills transfer across industries, though consultancy delivery experience moderately matters.
Explicit 5–15 years plus mandatory Azure, Databricks, security and CI/CD requirements increase filter strictness.
Design, develop, and deploy Azure cloud-based data solutions including data warehouses, data lakes, and hybrid scenarios.
Manage and maintain Azure Data Factory, Databricks, Stream Analytics, Event Hub, and HD Insight components for data modernization and migration.
Coordinate with process owners to understand existing processes and automate workflows ensuring maintainability and compliance with security standards.
5-15 years of hands-on experience with Azure Cloud data warehouses, No-SQL databases, and hybrid data scenarios.
Proficient in Azure Data Factory (including Azure Functions, LogicApps, Triggers, IR), Databricks (pySpark, Scala), Stream Analytics, Event Hub, and HD Insight.
Experience with Azure DevOps pipelines including CI/CD management and source data access security (Vault, authentication, authorization).
Educational Qualification: B.Tech/B.E. in any specialization; Location: Bengaluru with occasional client travel; Work Experience Required: 5-15 years.
Experienced in managing complex Azure data modernization projects with end-to-end ownership including design, implementation, and automated workflow configuration.
Capable of engaging and influencing multiple stakeholders including process owners and clients with strong analytical and communication skills aligned to strategic problem solving.
Comfortable working in a hybrid model with readiness for occasional travel and operating within large consulting engagements requiring change management and delivery excellence.