Packaged/SaaS Application Engineer

Project Role : Packaged/SaaS Application Engineer Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance. Must have skills : Microsoft Power Business Intelligence (PBI) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: In the role of a Packaged or Software as a Service Application Engineer, a typical day involves configuring and supporting packaged or cloud-based applications to tailor features according to evolving business requirements. We are looking for a Senior Power BI Developer (With exposure of Snowflake , DBT, Modeling ) who can design, maintain, and enhance advanced analytics solutions using Power BI , Snowflake and DBT. This role involves building and maintaining interactive dashboards, optimizing data models, leveraging DBT / DAX for data preparation and automation, and managing incidents and changes to Power BI dashboards and reports to ensure reliability and continuous improvement. The role includes managing software releases and maintaining system stability to ensure seamless operation. The engineer works with various tools, application programming interfaces, and low-code platforms to deliver solutions that align with organizational goals while maintaining compatibility and optimal performance across systems. Collaboration with different teams and continuous monitoring of application health are integral parts of daily activities. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Mush hands on DBT experience along with PBI and Snowflake - Design, develop, and maintain Power BI dashboards and reports, ensuring accuracy, usability, and performance. - Build enhancements on existing Power BI solutions to improve functionality, user experience, and performance. - Create optimized data models, implement advanced DAX calculations, and ensure scalability for large datasets. - Use Python for data wrangling, validation, and automation (Pandas, API integration). - Develop Python scripts for: - Data quality checks and performance profiling, - Automating refresh validation and reporting. - Connect to SQL Server/Snowflake using Python for batch loads and incremental updates. - Manage incidents related to Power BI dashboards and reports, including troubleshooting, root cause analysis, and timely resolution. - Implement changes and updates to Power BI dashboards based on incident findings, business requirements, and optimization needs. - Monitor dashboard performance and refresh schedules proactively address issues. - Collaborate with stakeholders to gather requirements and deliver actionable insights. - Maintain documentation for architecture, processes, and compliance