Technical Team Lead - Power BI

• Lead the design, development, testing, implementation, and maintenance of complex reports and dashboards using the Power BI. Additional Reporting Tool Knowledge is advantageous.
• Develop and execute strategic plans for data solutions, ensuring alignment with organizational goals and objectives.
• Mentor and guide a team of developers across multiple projects, providing technical and professional guidance.
• Review and own skill development of team members and propose suitable actions based on performance
• Foster a collaborative and innovative team environment, encouraging continuous learning and improvement.
• Build Power BI models based on advanced data modelling designs like Snowflake, Star, and Relational data models.
• Resolve complex modelling issues in Power BI independently, ensuring robust and efficient data solutions.
• Implementation of power bi embedding for different scenarios.
• Ensuring CI/CD is followed for Power BI and Fabric content.
• Translate business requirements into detailed functional and technical specifications for development.
• Knowledge of ETL processes and data integration solutions using industry-leading tools Ex: Databricks, Talend etc. Establish quality metrics and ensure its implementation. Ensure and adherence to best practices and standards.

What to Have for this position.

Must have Skills.

• 8+ years of experience in developing and implementing reports and dashboards, with a primary focus on Microsoft Tool stack/Power BI.
• Proven ability to build solutions and resolve complex modelling issues in Power BI with minimal support.
• Advanced coding skills in SQL, MDX, and DAX, with extensive experience in SQL performance tuning and debugging.
• Proficiency in creating complex data models and visualizations that drive impactful business decisions.
• Hands-on experience with Power Query, M, R, and Python is highly advantageous.
• Hands-on experience on Power BI Embedded scenarios, CICD pipelines for Power BI Content.
• Good to have Hands-on experience on Fabric Capacity and User Administration.
• Deep knowledge of Information Retrieval and Data Warehouse (DWH) Architecture.
• Extensive experience in Data Analysis, Data Modelling, and Data Mart design.