BI Engineer

Assuming you mean a Business Intelligence (BI) Engineer job description, here s a solid standard version you can adapt. BI Engineer Job Description Role Summary responsible for designing, developing, and maintaining scalable data models, pipelines, dashboards, and reporting solutions that enable data-driven decision-making across the organization. The role partners closely with business stakeholders, data engineering, analytics, and technology teams to translate business requirements into reliable and actionable insights. Key Responsibilities:

• Design and develop BI solutions, dashboards, reports, and analytical data products.
• Build and maintain dimensional data models, semantic layers, and reporting datasets.
• Develop and optimize SQL queries, ETL/ELT pipelines, and data transformations.
• Integrate data from multiple enterprise systems and ensure consistency across reporting.
• Partner with business stakeholders to define KPIs, metrics, and reporting requirements.
• Develop dashboards using tools such as Power BI, Tableau, Looker, or similar platforms.
• Establish data quality checks, validation processes, and monitoring.
• Optimize BI solutions for performance, scalability, usability, and maintainability.
• Implement appropriate data security, access controls, and governance standards.
• Troubleshoot data discrepancies and perform root-cause analysis.
• Maintain technical documentation, data dictionaries, and metric definitions.
• Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams.

• Bachelor s degree in Computer Science, Information Systems, Engineering, Data Analytics, or related field.
• 3 7+ years of experience in BI, analytics engineering, data engineering, or related roles.
• Advanced SQL skills and strong understanding of relational databases.
• Experience with Power BI, Tableau, Looker, or comparable BI platforms.
• Experience with ETL/ELT technologies and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Understanding of dimensional modeling, star schemas, data warehousing, and semantic modeling.
• Experience with Python is preferred.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.