- Participate in the technical migration, replacing the sources that feed current Power BI dashboards with new migrated Datalake views
- Ensure data integrity and consistency by validating row counts and volumes between source systems and Power BI reports
- Validate and cross-check highly sensitive, business-critical metrics, including data covering millions of users and figures tied to variable compensation
- Design and optimize complex logic and DAX queries, avoiding simple schema copies and ensuring robust business-critical platforms
- Collaborate with technical support and dashboard design profiles to deliver robust, visually polished outputs
- Work on a challenging project for a leading bank
- Use GitHub Copilot and AI agents as everyday tools
- Bring LLMs, RAG, and AI Agents into Data+, Muttdata's internal data platform, to automate Data Engineering and operational tasks

Requirements
- Experience developing and configuring in Unity Catalog and SQL Editor, with solid knowledge of Databricks
- Advanced command of Power BI, including complex data modeling, advanced DAX,



and business logic design
- Strong SQL skills and advanced query logic, with the technical sensitivity needed to handle and validate complex sources
- Demonstrated autonomy and proactivity to operate independently against complex data sources under defined deadlines
- Previous experience in business-critical (mission-critical) data migration projects (nice to have)
- Experience validating large-scale volumetric data, including row counts, null counts, and distinct value counts, between source and destination systems (nice to have)
- Experience working under tight, deadline-driven project timelines (nice to have)

Core Competencies

Demonstrates expertise in Power BI, advanced DAX, and SQL for data modeling and validation, ensuring data integrity in business-critical environments. Proficient in utilizing AI tools and data platforms to enhance data engineering processes and deliver polished outputs

📌 Data Analytics Engineer (Buenos Aires)
🏢 Jobtailor
📍 Buenos Aires