Data Analyst

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Cloud\-Based Data Architecture <\/span><\/span><\/b>
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• Design and implement a “Lakehouse” architecture combining data lake for raw data and data warehouse for structured analytics. <\/span>
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• Ensure high availability and disaster recovery mechanisms for business continuity. <\/span>
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  DataSecOps Framework <\/span><\/span><\/b>
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  • Define and enforce access control and identity management based on least\-privilege principles. <\/span>
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  • Establish continuous monitoring for real\-time security and compliance alerts. <\/span>
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    Data Governance & Compliance <\/span><\/span><\/b>
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    • Define clear governance rules for data ownership, stewardship, and lifecycle management. <\/span>
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    • Ensure compliance with LGPD, U.S. privacy laws, and banking regulations. <\/span>
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    • Implement metadata management and data catalog tools for discoverability and lineage tracking. <\/span>
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      Data Quality & Observability <\/span><\/span><\/b>
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      • Deploy validation frameworks for automated checks on accuracy, completeness, and timeliness. <\/span>
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      • Create monitoring dashboards to track data health and pipeline performance. <\/span>
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      • Define incident management processes for anomaly detection and resolution. <\/span>
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        Advanced Analytics & AI Enablement <\/span><\/span><\/b>
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        • Enable self\-service BI tools (Power BI, Tableau) for business users. <\/span>
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        • Build infrastructure for machine learning model training and deployment pipelines. <\/span>
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        • Provide a secure data science sandbox for experimentation without impacting production. <\/span>
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          Monitoring & Cost Optimization <\/span><\/span><\/b>
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          • Implement FinOps practices for efficient cloud cost management. <\/span>
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          • Optimize queries and storage for performance and cost efficiency. <\/span>
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            Requirements <\/h3>
            
            

            
            

            
            
            • 12+ years of experience with Software Development \/ Data <\/span><\/span><\/span>
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            • 5+ years of experience with Data Engineering <\/span><\/span><\/span>
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            • Hands\-on experience with Data Architecture, Data Warehouse \/ Data Lake, Data Governance, Frameworks, BI Tools <\/span><\/span><\/span>
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            • Highly desirable previous experience working for Financial Services \/ Banks <\/span><\/span><\/span>
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            • Highly desirable fluency in Portuguese or Spanish <\/span><\/span><\/span>
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            • Bachelor’s degree in Information Technology or related field
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              <\/body>
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