Business Intelligence Engineer
4 weeks ago
About the job:
- Work experience in being Senior BI engineer role
- Work closely with internal and external stakeholders to turn data into critical information and knowledge that can be used to make sound business decisions
- Responsible for the full life cycle development, implementation, production support, and performance tuning of the Enterprise Data Warehouse, Data Mart, and Business Intelligence Reporting environments, and support the integration of those systems with other applications.
- Analyzes business and functional requirements and translates these requirements into robust, scalable, operable solutions.
- Documents new and existing models, solutions, and implementations.
- Enhances the performance of business intelligence tools by defining data to filter and indexes.
- Experience of complex report development using tools such as Power BI, Tableau, Qlik, Cognos TM1.
Requirements:
- Bachelor's/Master's degree in Computer Science, Engineering, Information Systems, or related field.
- Master's degree preferred.
- Proven experience as a BI Engineer, Data Engineer, or similar role, with experience in designing and implementing BI solutions.
- Strong proficiency in SQL for data manipulation and query optimization.
- Hands-on experience with BI and data visualization tools such as Tableau, Power BI, QlikView, or similar platforms.
- In-depth knowledge of data warehousing concepts, dimensional modeling, and ETL processes.
- Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
- Familiarity with cloud-based BI solutions (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics) is desirable.
- Excellent analytical and problem-solving skills, with the ability to translate complex business requirements into actionable insights.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels.
- Certifications in BI tools or data warehousing technologies are a plus (e.g., Tableau Desktop Specialist, Microsoft Certified: Azure Data Engineer Associate).
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