Power BI Developer/Data Engineer

Qualifications and Requirements

• 1.5–3 years of relevant experience in Power BI development, data engineering, business intelligence, or a related field.
• Hands-on experience developing dashboards and reports using Microsoft Power BI.
• Basic to intermediate knowledge of ETL processes and data integration concepts.
• Experience in data modeling and transforming data for reporting and analytics.
• Proficiency in Power Query and DAX.
• Working knowledge of SQL for querying, extracting, and manipulating data.
• Understanding of relational databases, data structures, and data quality principles.
• Strong analytical and problem-solving skills.
• Good attention to detail and the ability to validate data accuracy.
• Effective communication and collaboration skills.
• Ability to manage tasks independently while working with cross-functional teams.

Preferred Qualifications

• Familiarity with Microsoft Excel and other data analysis tools.
• Exposure to Microsoft SQL Server, Azure data services, or cloud-based data platforms.
• Basic understanding of data warehousing, data pipelines, and dimensional modeling.
• Experience with scheduled data refreshes and Power BI Service.
• Knowledge of dashboard design principles and data visualization best practices.

Key Responsibilities

• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
• Create, develop, and maintain interactive dashboards and reports using Microsoft Power BI.
• Build and optimize data models in Power BI to support accurate and efficient reporting.
• Develop data transformations and calculations using Power Query and DAX.
• Connect Power BI to various data sources and ensure data accuracy, consistency, and reliability.
• Perform data cleansing, validation, and transformation to ensure high-quality reporting outputs.
• Optimize dashboard performance, data models, and report refresh processes.
• Collaborate with business users, analysts, and stakeholders to understand reporting requirements and translate them into effective BI solutions.
• Troubleshoot data integration, ETL, dashboard, and reporting issues.
• Maintain technical documentation for data pipelines, data models, dashboards, and reporting processes.
• Ensure data security, consistency, and adherence to established data governance standards.
• Support the continuous improvement of existing dashboards, reports, and data workflows.