Job Summary:
The candidate will be responsible for building and deploying high-quality BI Platforms that are scalable.
Key Responsibilities:
Conduct assessments of client needs and environments to recommend optimal Tableau Server configurations and deployments.
Develop and implement strategies for migration, upgrade, and optimization of multi-tier Tableau environments.
Provide recommendation on best practices for Tableau Server administration, security, and performance tuning.
Install, Upgrade, and provide ongoing support for BI Platforms (Peferably Tableau).
Setup proactive monitoring to review the performance and health of the platform and implement solutions to optimize the performance.
Responsible for global Customer Service, including end-user support and education and issue troubleshooting and resolution for all users of the Corporate IT BI Platforms.
Automate workflows and processes to streamline Tableau Server administration tasks.
Required Skills and Experience :
Minimum 5 Years of Experience
Expertise in installing and upgrading enterprise-wide multi-node Self Servicing BI Platforms like Tableau Server and with High Availability.
Experience in setting up Tableau Online Sites.
Experience in Advanced Management and Data Management.
Experience in activating the Tableau Advanced management and Data management features.
Experience in maximizing the security and scalability of server capabilities using Tableau.
Advanced management tools
Experience in automating tasks using TABCMD, exposure to Rest API and Hyper API.
Experience in building scalable dashboards using Tableau Desktop and Power BI
Experience in setting up Tableau Server REST APIs, Data Management API, Hyper API, and Extensions.
Expertise in setting up integrations with multiple source systems from BI Platform for data refreshes.
Experience with Request, Incident, Problem, and Change Management processes.
End User training and support.
Experience in developing automation solutions using Python.
Educational Qualifications:
Bachelor/Masters degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics, and Advanced Analytics.
