Back
Tier-1 brand, popular Data Engineer title, Bangalore metro, and broad Azure/Power BI requirements amplify competition.
Core data engineering skills are transferable, but Power Platform and Azure focus makes industry fit moderately sensitive.
Explicit 7–10 years plus specific Power BI and Azure requirements raise shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and delivery of enterprise dashboards and reports using Power BI, transforming complex data into interactive business insights.
Develop scalable data models and data integration pipelines leveraging Azure services and SQL for real-time self-service analytics across teams.
Design, implement, and manage low-code applications with Power Apps and Power Automate integrated with enterprise systems, ensuring data governance and security compliance.
7-10 years of relevant work experience in data engineering and analytics.
Strong expertise in Power BI (Dashboard, DAX, Power Query) and data modeling.
Proficiency with Azure ecosystem components including Azure SQL, Data Lake, Synapse/Fabric, and Azure Data Factory.
Bachelor’s degree in IT, Computer Science Engineering, or related field.
Experienced in enterprise analytics architecture design with focus on performance tuning and data governance.
Skilled at integrating low-code solutions (Power Apps, Power Automate) with APIs and external enterprise systems.
Ability to operate in a global, cross-time zone environment supporting multiple business units.