TETeamware Solutions
Senior Tableau Developer
Hyderabad ₹5-7 LPA Posted 16 Jul 2025
FULL TIME
Power Bi
Gcp
Qlik
Azure
Aws
Job Description
Key Responsibilities:
- Design and develop interactive dashboards and visualizations using Tableau Desktop and Tableau Server/Online.
- Gather requirements and work closely with business stakeholders to understand KPIs, metrics, and analytical needs.
- Translate business questions into visual data stories and actionable insights.
- Develop data extracts, calculations, parameters, and advanced Tableau features (LOD expressions, filters, actions).
- Connect Tableau to various data sources including SQL Server, Oracle, Snowflake, Google BigQuery, or Excel.
- Optimize dashboards for performance, usability, and scalability.
- Implement and maintain best practices for data governance, security, and dashboard lifecycle management.
- Train and mentor junior Tableau developers and business users on dashboard usage and data literacy.
- Collaborate with data engineers and analysts to ensure data quality and proper ETL pipelines.
Qualifications and Requirements:
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field.
- 5+ years of experience developing in Tableau, with a strong portfolio of published dashboards.
- Proficient in SQL and working knowledge of data warehousing principles and dimensional modeling.
- Experience with large datasets and complex joins, calculations, and performance tuning in Tableau.
- Familiarity with Tableau Server administration tasks (e.g., user permissions, project setup).
- Excellent communication skills, with the ability to explain complex data concepts to non-technical users.
Desirable Skills and Certifications:
- Tableau Desktop Certified Associate or Tableau Certified Data Analyst preferred.
- Experience with scripting languages like Python or R for advanced analytics is a plus.
- Knowledge of BI tools like Power BI, Looker, or Qlik is a plus.
- Experience working in Agile/Scrum environments.
- Understanding of cloud data platforms (AWS, Azure, GCP) and data lakes.