Data Engineer
1 week ago
- Develop, design, and maintain interactive Power BI dashboards and reports.
- Understand business requirements and translate them into efficient data models and visualizations.
- Work with stakeholders to define key performance indicators (KPIs) and reporting metrics.
- Optimize performance of Power BI reports and dashboards.
- Integrate Power BI with different data sources, including SQL databases, Excel, and cloud-based services.
- Develop and optimize DAX queries and calculations to enhance report performance.
- Implement Row-Level Security (RLS) and manage user access as per business needs.
- Ensure data accuracy, validation, and consistency in all reports.
- Automate report refresh schedules and monitor Power BI service performance.
- Collaborate with cross-functional teams including Data Engineers, Analysts, and Business Users.
- Stay up to date with Power BI best practices, updates, and new features.
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Required Skills & Qualifications
- 3-4 years of hands-on experience in Power BI development.
- Strong expertise in Power Query, DAX, and data modeling.
- Experience working with SQL Server, MySQL, PostgreSQL, or other databases.
- Good knowledge of ETL processes and data transformation techniques.
- Hands-on experience in publishing reports to Power BI Service and managing permissions.
- Knowledge of Power BI Gateways, APIs, and Embedded Analytics is a plus.
- Experience in Azure Synapse, Data Factory, or other cloud-based data tools is an added advantage.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Preferred Qualifications
- Microsoft Certified: Power BI Data Analyst Associate (PL-300) is a plus.
- Experience in working with Agile or Scrum methodologies.
- Basic knowledge of Python or R for data analysis is a bonus.
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