Data Visualization Engineer

• Design, develop, and maintain interactive Tableau dashboards, reports, and visualizations.
• Write optimized SQL queries to extract, transform, validate, and analyze data from relational and cloud databases.
• Use Python for data preparation, automation, statistical analysis, and advanced data processing.
• Work with GCP services such as BigQuery, Cloud Storage, Cloud SQL, and related data/analytics services.
• Build data pipelines and analytical datasets that support Tableau reporting.
• Translate business requirements into meaningful KPIs, metrics, dashboards, and data stories.
• Perform data quality checks, reconciliation, and validation before publishing reports.
• Optimize Tableau dashboards for performance, usability, and scalability.
• Collaborate with data engineering and business teams to understand data sources and business logic.
• Automate recurring reporting and data-processing tasks using Python and SQL.
• Document data definitions, dashboard logic, SQL queries, and reporting processes.

Required Skills

Tableau

• Strong experience developing interactive Tableau dashboards.
• Knowledge of calculated fields, parameters, filters, sets, groups, actions, and LOD expressions.
• Experience with dashboard performance optimization.
• Ability to create executive-level dashboards and KPI visualizations.

SQL

• Strong SQL skills including joins, subqueries, CTEs, window functions, aggregations, and query optimization.
• Experience working with large datasets and analytical data models.
• Ability to troubleshoot data discrepancies and validate results.

Python

• Proficiency in Python for data analysis and automation.
• Experience with Pandas, NumPy, and data-processing libraries.
• Ability to automate data preparation, validation, and reporting workflows.

GCP

• Hands-on experience with Google BigQuery.
• Understanding of Google Cloud Storage and Cloud SQL.
• Familiarity with cloud-based data warehouses, ETL/ELT processes, and GCP data architecture.
• Experience connecting Tableau to cloud data sources is preferred.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field.
• 25+ years of experience in data analytics, business intelligence, or data visualization.
• Experience with data warehousing and dimensional modeling.
• Knowledge of BI best practices and data storytelling.
• Strong communication and stakeholder-management skills.