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Tier-1 employer, metro location and popular Azure data role increase applicant density.
Azure data engineering skills are transferable across industries but require cloud-specific expertise.
Explicit 5-15 years and mandatory Azure/Databricks, CI/CD, and security requirements enforce strict filters.
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Design, develop, and deploy Azure data solutions including data warehouses, data lakes, and hybrid data scenarios integrating Azure services such as Data Factory, Databricks, Stream Analytics, Event Hub, and HD Insight.
Manage Azure DevOps pipelines (CI/CD), source data access security, and enforce data policies and standards.
Collaborate with process owners and business stakeholders to understand existing processes and automate workflows using Azure tools and robotic process automation principles.
5-15 years hands-on experience implementing Azure Cloud data warehouses, Azure and No-SQL databases, and hybrid data scenarios.
Experience with Azure Data Factory (including Functions, LogicApps, Triggers, Integration Runtime), Databricks (pySpark, Scala), Stream Analytics, Event Hub, HD Insight, and Azure DevOps pipelines.
Bachelor's degree in Engineering (B.Tech/B.E.) in any specialization.
Base location: Bengaluru; occasional client travel; hybrid working model.
Experienced in end-to-end Azure data engineering solutions with operational ownership of design, development, and deployment.
Able to manage complex technical workflows and security configurations in a large-scale enterprise environment.
Capable of engaging with multiple stakeholders to translate business processes into automation and data modernization solutions.