Posted Date
6/13/2025
Description
Senior Tableau Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

QUALIFICATIONS:

• 5-8 years of relevant experience
• Proficient understanding of distributed computing principles
• Proficient in SQL coding and Tuning.
• Experience with Tableau software both on Tableau Desktop, Tableau Prep and Tableau Server.
• Experience with integration of data from multiple data sources.
• Good knowledge of Big Data querying tools, such as Hive and Impala.
• Knowledge on Hadoop v2, MapReduce, HDFS, Pyspark, and Spark is plus but not mandatory.
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

EDUCATION:

• Bachelor’s degree/University degree or equivalent experience
  This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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MOST RELEVANT SKILLS

Please see the requirements listed above.
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OTHER RELEVANT SKILLS

Microsoft SQL Server Reporting Services, Oracle Applications PLSQL, PL/SQL (Programming Language), Tableau (Software), Tableau Desktop.
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• Strong on data analytics with executing SQL queries in different databases for example: Oracle, SQL, Mongo, PostgreSQL, hive/impala/spark to analyze data and fix data issue as and when required.
• Strong experience on data structure.
• Developing advanced reporting, analytics, dashboards, and other business-intelligence solutions.
• Creating visually appealing and interactive dashboards is a primary responsibility.
• Connecting Tableau to different databases, ensuring data accuracy, and maintaining the integrity of data feeds also responsible for cleansing and preparing data to be effectively used in Tableau for analysis and reporting.
• Responsibility includes improving load times, enhancing responsiveness, and handling large datasets efficiently.
• Setting up appropriate access controls, monitoring data usage, and protecting sensitive information.
• Improving performance by twisting SQL queries.Discovering areas of automation for making the business process more efficient.
• Performing and documenting data analysis, data validation, and data mapping/design.