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.
