Data Visualization Engineer

About the role

The AES Group is a premier technology staffing and services company dedicated to delivering innovative technology solutions that enhance customer engagement, employee empowerment, and operational transformation through cloud, data, AI, and emerging technologies.

Responsibilities

• Build interactive dashboards, reports, and visualizations that communicate key performance indicators (KPIs), trends, and insights clearly.
• Translate business questions into effective visual stories and measurable metrics.
• Choose appropriate chart types, design patterns, and interaction models for different audiences and use cases.
• Connect BI tools to enterprise data sources (cloud warehouses, relational databases, APIs, flat files).
• Develop and optimize data models, semantic layers, calculated metrics, and reusable measures.
• Apply best practices in layout, color, typography, accessibility (WCAG), and UX to improve usability and adoption.
• Define and maintain visualization standards, templates, and style guides for consistent delivery.
• Improve dashboard performance through query tuning, caching strategies, incremental refresh, and efficient modeling.
• Partner with data engineering teams to validate data quality, reliability, and documentation.
• Enable self-service analytics through training, documentation, and reusable dashboard templates.
• Perform peer reviews and provide technical guidance within the BI development environment.

Requirements

• 6+ years of experience in data visualization, BI engineering, or a related field.
• Expert-level proficiency in Power BI, Tableau, Looker, or Qlik Sense.
• Strong SQL skills for querying, optimizing, and troubleshooting large datasets.
• Solid understanding of BI data modeling concepts: star/snowflake schemas, relationships, aggregations, and semantic modeling.
• Experience integrating BI tools with modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Amazon Redshift.
• Strong grounding in data visualization principles, UX practices, and accessibility standards (WCAG).
• Proven ability to convert requirements into polished, production-ready dashboards and reports.
• Ability to work independently, manage multiple deliverables, and communicate proactively (consulting/contractor mindset).

Nice to have

• Proficiency across multiple BI platforms (e.g., both Power BI and Tableau).
• Python or R experience for data preparation, automation, or analytics integration.
• Exposure to data governance, cataloging, metadata management, and BI CoE standards.
• Familiarity with Git and CI/CD practices for BI development and deployment.
• Experience in regulated industries (finance, healthcare, retail, government).
• Relevant BI and/or cloud certifications.