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Tier-1 employer, metro location, and broad Azure data platform requirements increase candidate competition.
Role demands Azure data platform and Databricks expertise, making cross-industry transferability limited.
Explicit 8–12 years requirement plus mandatory Azure data platform and DevOps skills make screening stringent.
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Design, develop, and deploy Azure cloud-based data warehouse and data lake solutions using various Azure tools and principles.
Configure and maintain robotic process automation workflows ensuring maintainability and ease of understanding, including issue resolution during operations.
Coordinate with business process owners to understand and redesign processes for automation, while maintaining thorough documentation through UAT and production phases.
8-12 years of hands-on experience implementing Azure cloud data warehouses, Azure and No-SQL databases, and hybrid data scenarios.
Experience with Azure Data Factory (including Azure Functions, Logic Apps, Triggers, Integration Runtime), Databricks (PySpark, Scala), Stream Analytics, Event Hub, and HD Insight Components.
UG Degree required: B.Tech / B.E. in any specialization.
Work location: Mumbai with a hybrid work model; managing Azure DevOps pipelines and source data security using Vault is required.
Experienced in managing end-to-end Azure cloud data solutions including DevOps and security compliance.
Capable of owning technical delivery and cross-team coordination for process automation and data platform solutions.
Comfortable working in hybrid onsite-offsite environment and adapting to domain-customized hybrid approaches.