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Strong Tier-1 employer, metro Bengaluru location, and a popular mid-senior Data Engineer title drive high competition.
Azure and Power Platform skills are transferable across industries but favor enterprise environments, so medium sensitivity.
Explicit 7-10 years requirement plus mandatory Power BI, Azure, and Power Platform skills raises shortlist strictness to high.
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Design and deliver enterprise-level Power BI dashboards and reports to transform complex data into actionable business insights.
Develop scalable data models and manage data integration pipelines using Azure ecosystem and SQL for real-time, self-service analytics.
Lead development of low-code applications with Power Apps and Power Automate, ensuring data governance, security, and compliance in analytics solutions.
7-10 years of professional experience in data engineering or related fields.
Proficiency in Power BI, including dashboard development, DAX, Power Query, and data modeling.
Experience with Azure data services: Azure SQL, Data Lake, Synapse/Fabric, Azure Data Factory.
Bachelor’s degree in IT, Computer Science Engineering, or a related field.
Experienced in architecting enterprise analytics with focus on scalable, secure, and governed data platforms.
Demonstrated ability to integrate diverse data sources and systems (APIs, enterprise applications) in cloud-native environments.
Comfortable managing end-to-end file lifecycle, including performance tuning, access control, and deployment pipelines in Microsoft Power Platform ecosystem.