Data Engineer – Business Intelligence Platform

Job Description

Role : Data Engineer Business Intelligence Job Description : We are seeking a skilled Data Engineer Business Intelligence with 4 to 6 years of experience, including at least 3 years in business intelligence and data visualization. The ideal candidate will have strong proficiency in Tableau, SQL, and data warehousing concepts, particularly with Snowflake. This role involves creating impactful visualizations, managing data pipelines, and translating business requirements into actionable Responsibilities : – Design and develop interactive dashboards and reports using Tableau Desktop and Tableau Server. – Create custom SQL queries to extract and manipulate data for visualization purposes. – Blend data from multiple sources and establish relationships within Tableau to provide comprehensive insights. – Develop and maintain ETL processes to ensure data accuracy and integrity. – Work with Snowflake and other databases to manage data warehousing solutions. – Implement advanced SQL techniques, including joins and window functions, for data manipulation. – Translate business requirements into technical specifications and data models. – Conduct data analysis to identify trends, patterns, and insights that support business decisions. – Present complex data findings to non-technical stakeholders in a clear and concise manner. – Debug and resolve issues related to data controls and visualization tools. – Optimize data queries and dashboards for performance and scalability. – Continuously monitor and improve data quality and reporting Qualifications : – Strong proficiency in Tableau Desktop and Tableau Server. – Extensive knowledge of SQL and advanced SQL functions. – Experience with Snowflake and understanding of data warehousing concepts. – Familiarity with ETL processes and data pipeline development. – Excellent analytical and problem-solving abilities. – Ability to interpret complex data sets and provide actionable insights. – Strong attention to detail and commitment to data accuracy. – Collaborative mindset with the ability to work in cross-functional teams. – Proactive approach to stakeholder engagement and requirement gathering (ref:hirist.tech)