What are the responsibilities and job description for the Tableau Architect position at SIDRAM TECHNOLOGIES?
Highly experienced Senior Tableau Architect with 8 years of experience in designing, implementing, and maintaining large-scale Tableau installations with SQL Server databases, and expertise in performance improvement and optimization.
Certification in Tableau or related technologies
Key Responsibilities
Certification in Tableau or related technologies
Key Responsibilities
- Design and implement large-scale Tableau installations
- Develop and enforce best practices for Tableau administration and performance tuning
- Identify and troubleshoot performance issues in Tableau dashboards and data models
- Optimize and improve performance of Tableau workbooks, dashboards, and data sources
- Develop and implement data storytelling and visualization best practices
- Design and implement complex data models, including star and snowflake schemas
- Develop and optimize Tableau calculations, including level of detail, data blending, and data densification
- 8 years of experience in Tableau administration, development, and architecture
- 5 years of experience with SQL Server, data warehousing, and dimensional modeling concepts
- Strong understanding of Tableau's underlying architecture and security structures
- Expertise in developing complex Tableau dashboards, data visualizations, and data models
- Strong SQL skills, with experience writing efficient and optimized SQL queries
- Experience with performance optimization and troubleshooting in Tableau
- Tableau Server, Tableau Desktop, and Tableau Online
- SQL Server and PostgreSQL
- Data warehousing and dimensional modeling concepts
- Tableau Data Model and data governance tools, such as Tableau Metadata API
- Data visualization best practices and data storytelling principles
- Tableau calculations, including:
- Level of detail (LOD) expressions
- Data blending and data fusion
- Data densification and aggregation
- Parameter-based calculations and filters
- Performance optimization and troubleshooting, including:
- Identifying and resolving performance bottlenecks
- Optimizing workbook and dashboard performance
- Improving data source and query performance
- Using Tableau's built-in performance monitoring and analysis tools
- Experience with advanced Tableau features, such as:
- Tableau Prep and data preparation best practices
- Tableau Catalog and data governance
- Tableau Server administration and configuration, including:
- User and group management
- Content and data management
- Performance and scalability optimization
- Tableau API and integration with other tools and systems, including:
- REST API and webhooks
- Tableau Connector and data source integration
- Tableau and Python integration using TabPy
- Experience with Tableau's performance monitoring and analysis tools, including:
- Workbook and dashboard performance analysis
- Data source and query performance analysis
- Server and database performance analysis
- Knowledge of performance optimization techniques, including:
- Data aggregation and summarization
- Data caching and indexing
- Query optimization and rewriting
- Workbook and dashboard optimization
- Experience with optimizing Tableau for large datasets, including:
- Data sampling and aggregation
- Data visualization and rendering optimization
- Workbook and dashboard optimization for large datasets
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