Senior Full-Stack BI Consultant – Qlik Sense, Data Lake

Job not on LinkedIn

🔥 16 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 23%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Runtalent

Runtalent

501 - 1000 employees

Founded 2003

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.

📋 Description

• Work autonomously with business teams, transforming functional needs into comprehensive data and analytics solutions • Understand business requirements through a Project Manager, with support from the Corporate BI team • Lead requirements-gathering and functional refinement workshops • Prepare functional and technical specifications for solutions • Define the architecture and technical design of proposed solutions • Identify, analyze, and validate the required data sources • Develop data integration and processing workflows as needed • Work in Data Lake environments, including creating, publishing, and maintaining tables and data structures • Develop data models for analytical consumption • Build dashboards, management reports, and reports in Qlik Sense • Conduct testing, validation, and user acceptance activities with business users • Produce technical documentation and provide knowledge transfer • Ensure the performance, quality, and governance of delivered solutions

🎯 Requirements

• Qlik Sense (dashboard and application development, and data modeling) • Requirements gathering and functional analysis in collaboration with business stakeholders • BI solution architecture and technical design • Analytical data modeling • ETL/ELT and data integration • Data Lake concepts and technologies (Azure Synapse, PySpark) • Advanced SQL • End-to-end development of analytical solutions • Modern data architecture • Data governance and quality • Experience working in cloud environments • Agile methodologies • Experience with Analytics and Data & AI projects • Full-stack profile, capable of owning the complete delivery of requirements—from understanding business needs through to deploying the solution to production

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