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Senior Tableau Developer

Teamware Solutions
Hyderabad5-7 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.

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