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Tier-1 employer, metro locations, popular Azure data engineer role, and broad mid-level experience band drive high competition.
Azure-specific tooling increases domain bias, though core data engineering skills remain transferable.
Multiple mandatory Azure, Databricks, data lake and CI/CD skills indicate high technical filtering.
Design, develop, and deploy Azure-based data solutions including data warehouses, data lakes, and hybrid data scenarios.
Configure and maintain automation workflows with robotics process automation principles; provide ongoing issue resolution and support.
Collaborate with process owners and business teams to understand existing processes and translate them into automated workflows while maintaining proper documentation for all phases.
2-15 years of hands-on experience with Azure Cloud data warehouses, Azure and No-SQL databases.
Proficiency in Azure Data Factory (including Azure Functions, LogicApps, Triggers, Integration Runtime), Databricks (pySpark, Scala), Stream Analytics, Event Hub, and HD Insight Components.
Experience managing Azure DevOps CI/CD pipelines and enforcing data security policies via Vault and other authentication/authorization mechanisms.
Education: B.Tech/B.E. degree; Location: Bangalore, Pune, Delhi, Mumbai, Coimbatore, Bhubaneswar, Hyderabad, Kolkata; hybrid work with occasional client travel.
Experienced in end-to-end design and deployment of Azure data platform solutions in complex environments involving cloud and hybrid models.
Skilled in automation configuration and management, with an operational mindset focused on maintainability and issue resolution.
Able to work across teams and clients to translate business processes into technical automation solutions, indicating strong client interaction and coordination capability.