BI Engineer

Overview

**Employment Type:** Full-Time

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• Design, develop, and maintain enterprise-grade BI solutions, dashboards, and analytical reports.
• Gather and analyze business requirements and translate them into technical specifications.
• Develop and optimize ETL/ELT processes for data integration from multiple sources.
• Design and maintain data warehouses, data marts, and semantic models.
• Build interactive dashboards and reports to support business stakeholders.
• Ensure data accuracy, integrity, consistency, and governance across BI platforms.
• Monitor and optimize query performance, data pipelines, and reporting solutions.
• Collaborate with business users, data engineers, and leadership teams to identify reporting and analytics needs.
• Troubleshoot BI-related issues and provide ongoing support for reporting environments.
• Implement best practices for data visualization, security, and performance optimization.
• Create and maintain technical documentation, data dictionaries, and reporting standards.

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• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
• 7–9 years of experience in Business Intelligence, Data Warehousing, and Analytics.
• Strong experience with BI tools such as **Power BI, Tableau, Qlik Sense, or Looker**.
• Hands-on experience with SQL and relational databases such as **SQL Server, Oracle, PostgreSQL, or MySQL**.
• Experience designing and maintaining **Data Warehouses, Data Marts, and Dimensional Models (Star/Snowflake Schemas)**.
• Expertise in ETL/ELT tools such as **SSIS, Informatica, Talend, Azure Data Factory, or similar platforms**.
• Strong understanding of data modeling, data governance, and data quality principles.
• Experience with cloud platforms such as **Azure, AWS, or Google Cloud** is preferred.
• Knowledge of scripting languages such as **Python or PowerShell** is an advantage.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively with cross-functional and business teams.

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• Experience in enterprise-scale BI implementations.
• Knowledge of modern data platforms and lakehouse architectures.
• Familiarity with Agile/Scrum methodologies.
• Relevant certifications in Power BI, Tableau, Azure Data Engineering, AWS Analytics, or related technologies are preferred.

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• Competitive salary and benefits package.
• Opportunity to work on large-scale data and analytics initiatives.
• Exposure to modern BI and cloud technologies.
• Collaborative and growth-oriented work environment.
• Relocation support (if applicable).
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