DevOps Engineer
3 weeks ago
Responsibilities:
• Responsible for administering, supporting, monitoring, and tuning the Power BI reporting environment
• Design, extend, and enhance Power BI data models and development of new cubes
• Designing and developing advanced multidimensional and tabular SSAS models based on business requirements.
• Leading efforts to design and implement efficient and scalable data models using SSAS multidimensional and tabular models.
• Optimizing cube performance by fine-tuning measures, aggregations, partitions, and processing strategies.
• Develop, test, and deploy DAX-based scripts, queries, and functions in Power BI
• Creating and optimizing complex DAX expressions for tabular models to meet analytical needs.
• Design and develop Power BI dashboards and reports.
• Works closely with Power BI report users to tune and optimize Power BI reports and dashboards.
• Serves as Best Practices resource for Power BI initiatives in the organization.
• Conducts training and user-group sessions on Power BI.
• Acts as the escalation point for Power BI-related issues.
• Creating comprehensive documentation for SSAS models, DAX expressions, Power BI reports, and Paginated Reports to facilitate knowledge sharing within the team.
• Mentoring and guiding junior team members on SSAS, DAX, Power BI, and Paginated Reports development best practices.
Required Skills and Experience
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of BI Developer experience (SSAS, DAX, Power BI, Paginated Report, Power BI Gateway, Service, Security)
• 5+ overall industry experience in Data Analytics & Dashboarding/Reporting.
• Strong proficiency in SQL, SSAS/AAS tabular modeling, DAX, Power BI, and Paginated Reports.
• Experience working with Azure-based BI solutions, including Azure SQL, Azure Synapse, Data Factory, Blob Storages & Data Lakes.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work effectively in a team and independently.
• Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Power BI, etc.) are a plus.
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