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Tier-1 employer, metro Bengaluru, and broadly appealing senior data engineer title drive high applicant competition.
Role requires Microsoft/Azure and Power Platform expertise, moderately limiting cross-industry portability.
Explicit 7–10 years plus mandated Power BI, Azure, and Dataverse skills increase strictness.
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Lead design and delivery of enterprise Power BI dashboards and reports for business decision support.
Develop scalable data models, implement data integration and transformation with Azure and SQL sources.
Create low-code applications and workflows using Power Apps, Power Automate, and Dataverse integrated with enterprise systems.
7-10 years of experience in data engineering and enterprise analytics.
Expertise in Power BI (Dashboard, DAX, Power Query), data modeling, and Azure ecosystem (Azure SQL, Data Lake, Synapse/Fabric).
Bachelor's degree in IT, Computer Science, Engineering or related field.
Ability to manage data governance, security implementation including Row-Level Security, and data integration with APIs.
Experienced in designing enterprise-scale analytics architectures and optimizing performance for large datasets.
Strong in low-code enterprise application development and integration with business systems.
Capable of leading scalable, cloud-native data pipeline design within Azure ecosystem supporting real-time analytics.