Tableau Developer

1 day ago

Navi Mumbai, Maharashtra, India Smartavya Analytica Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Summary:

  • We are looking for a Tableau Developer with 3 to 5 years of hands-on experience in designing interactive dashboards and BI solutions.
  • This role requires strong Tableau expertise, solid SQL skills, and a good understanding of integrating Tableau with enterprise data platforms like Cloudera Data Platform (CDP 7.1).
  • You will collaborate with architects, engineers, and business analysts to deliver scalable, high-performance BI solutions.

Responsibilities:

  • Design, develop, and maintain interactive dashboards and reports using Tableau Desktop.
  • Follow and help enforce best practices in dashboard design, folder structure, naming conventions, and visualization standards.
  • Collaborate with senior BI and data engineering teams to optimize Tableau's connectivity with Cloudera Data Platform (CDP 7.1) and other enterprise data sources.
  • Implement filters, parameters, extracts, and Hyper Extracts to support performance-efficient reporting.
  • Support query performance tuning, incremental extract strategies, and dashboard performance improvements.
  • Maintain Tableau Server environments by publishing dashboards, managing permissions, and monitoring usage analytics.
  • Participate in code reviews, documentation, and internal knowledge-sharing initiatives.
  • Align dashboards with optimized data models and collaborate closely with backend data engineering teams.
  • Stay current with Tableau feature updates and apply them to enhance dashboard functionality and user experience.

Required Skills & Experience:

  • Tableau Expertise:
  • Tableau Desktop: Calculated fields, LOD expressions, dual-axis charts, actions, dashboard formatting, and storytelling.
  • Tableau Server/Online: Publishing, scheduling, permissioning, and tuning.
  • Tableau Prep: Data cleansing and transformation workflows.
  • Data & Querying:
  • SQL: Writing complex queries with joins, subqueries, CTEs, and aggregations.
  • Data Modeling: Star/snowflake schemas, normalization, and data blending.

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