31 Jul
|
Vista Info Systems
|
Kerala
31 Jul
Vista Info Systems
Kerala
We are looking for an experienced 4+ year Power BI Developer with deep technical expertise to design, develop, and maintain interactive dashboards that drive insights from high-volume, event-driven data. In this role, you will be tackling complex analytics for platforms that generate massive amounts of user-action events.
Primary Skills Experience : 4+ years of hands-on Power BI development.
Technical Depth : Demonstrated end-to-end Power BI expertise advanced DAX, robust data modelling (star schema, relationships, performance tuning), and Power Query/M with the ability to independently diagnose and resolve issues across the stack rather than only building visuals.
Business Comprehension & Communication : Proven ability to grasp customer business challenges, translate ambiguous requirements into analytical solutions, and communicate insights clearly to both technical and non-technical stakeholders.
High-Volume Data Experience : Proven experience reporting on large-scale telemetry, user-activity logs, or operator action events in enterprise environments.
Database Expertise : Strong proficiency in SQL and experience with Azure SQL, SQL Server, or other relational databases.
Optimization : Deep knowledge of report optimization, query folding, and performance tuning for large datasets.
Security : Hands-on experience implementing Row-Level Security (RLS).
Responsibilities Include Event-Driven Analytics : Design, develop,
and maintain interactive Power BI dashboards focused on large-scale event analytics and operator activity tracking.
Full-Stack Ownership : Independently diagnose and resolve performance bottlenecks and data issues across the entire Power BI stack (data ingestion, M language, DAX, and visual rendering).
Requirement Translation : Collaborate with stakeholders to grasp complex business challenges and translate ambiguous requirements into explicit, scalable analytical solutions.
Advanced Calculation : Develop and optimize complex DAX calculations, measures, KPIs, and calculated columns optimized for high-frequency data.
Data Modeling : Build efficient, highly optimized data models using star and snowflake schemas tailored to handle heavy event-log datasets.
ETL Management : Create and maintain robust ETL workflows using Power Query (M Language).
Data Integration : Integrate Power BI with SQL Server, Azure, APIs, and other enterprise data sources.
Security Implementation : Implement Row-Level Security (RLS) to securely manage data access across different user tiers and operational teams.
Maintenance : Schedule dataset refreshes and proactively troubleshoot refresh failures in large enterprise datasets.
Documentation : Prepare clear documentation for reports, data models, and dashboards. (ref:hirist.tech)
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