BI Engineer (Tableau)

As a talented BI Engineer, your main responsibility will be to design, develop, and enhance analytics solutions and interactive dashboards using Tableau. You should have hands-on experience in building scalable BI solutions, strong SQL skills, and a good understanding of data warehousing concepts. Your role will focus on creating insightful visualizations, optimizing semantic layers, and enabling data-driven decision-making across the organization. Key Responsibilities: - Design, develop, and maintain high-quality Tableau dashboards, workbooks, and reports that deliver actionable business insights. - Build and optimize data models, semantic layers, and data extracts to support scalable BI workflows. - Work closely with Snowflake/ETL teams to ensure dashboards consume clean, reliable, and well-structured data. - Write clean, efficient, and reusable SQL queries with JOINS, Views to prepare datasets for reporting and analytics use cases. - Participate in all phases of the BI development lifecycle, including requirement gathering, design, prototyping, testing, deployment, and user adoption. - Troubleshoot and resolve dashboard performance issues, data inconsistencies, or visualization challenges. - Collaborate with stakeholders to translate business needs into intuitive dashboards and data visualizations. Required Skills and Qualifications: - Minimum 2 years of professional experience as a BI Engineer, Data Analyst, or Reporting Developer with hands-on Tableau expertise. - Bachelors degree in Computer Science, Information Systems, Analytics, or a related field. - Strong proficiency in SQL with experience preparing datasets for analytics and reporting. - Hands-on experience with Tableau Desktop, Tableau Server, or Tableau Cloud, including dashboard design best practices. - Understanding of KPI design, data storytelling, and UX/UI principles for BI dashboards. - Good understanding of data warehousing concepts, Snowflake schema modeling, and working with data platforms such as Snowflake. - Experience collaborating in agile environments, especially sprint-based development. Additional Skills and Qualifications: - Experience working with cloud platforms such as AWS/Azure. - Knowledge of Python or PySpark to support advanced analytics use cases.,