Data engineer

Job Title: Senior Data Engineer Experience: Minimum 5+ Years Employment Type: Full-Time Job Summary We are seeking a skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in Power BI development, data modeling, and SQL, with the ability to translate business requirements into actionable insights. You will be responsible for end-to-end dashboard development, managing junior developers, and optimizing performance across reports and dashboards. Key Responsibilities Analyze business requirements and translate them into data models and reporting solutions. Perform GAP analysis between existing data models and business needs. Design and model efficient Power BI schemas and architecture. Transform and prepare data using Power BI, SQL, and ETL tools. Develop complex DAX formulas, measures, and calculated columns for analytics. Create visually appealing and functional Power BI reports and dashboards. Write SQL queries and stored procedures to retrieve and manage data effectively. Design robust Power BI solutions aligned with business objectives. Lead and guide a team of Power BI developers, ensuring high-quality deliverables. Integrate data from multiple sources into Power BI for holistic analysis. Optimize the performance of Power BI dashboards and reports. Collaborate with business stakeholders to align deliverables with strategic goals. Required Skills Minimum 5+ years of hands-on experience with Power BI development. Strong proficiency in DAX, Power Query, and Power BI Service. Excellent command of SQL, including stored procedures. Proven experience in data modeling, data transformation, and ETL processes. Strong understanding of data warehousing concepts (mandatory). Experience working with multiple data sources and integrating them within Power BI. Leadership capabilities to manage and mentor junior developers. Solid communication and stakeholder management skills. Preferred Qualifications Bachelor's Degree in Computer Science, Information Technology, or equivalent. Knowledge of Data Engineering concepts is a plus. Experience with cloud platforms such as Azure or AWS is advantageous.