Design, develop, and maintain scalable BI solutions delivering insights.
Lead migration to centralized data lakehouse architecture.
Architect and implement AWS-based data pipelines and modern reporting.
Develop dashboards using Power BI and AWS QuickSight; add AI features.
Collaborate with business leaders to translate requirements into tech solutions.
Establish best practices for data governance, quality, security, and DevOps.

🎯 Requirements

5+ years of BI development and data analytics.
AWS data services (Glue, Redshift, Athena, QuickSight, DynamoDB) and lakehouse architectures.
Power BI, Dataverse, SQL, and relational/NoSQL databases.
ETL processes, data modeling, and AI/ML integration in BI solutions.
Translate business needs into technical specifications with strong communication.
Python, R, real-time/streaming analytics.

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