Power BI Developer

Job Description Requirements ● Qliksense Expertise: 2+ years of experience in Qliksense, with a strong background in  BI implementation, development, and support. This includes proficiency in Qliksense  data modeling, data visualization, and data storytelling. ● Data Integration: Proven ability to develop Qliksense reports from diverse data sources,  including SQL Server, MYSQL, MongoDB, Hive, Access, Excel, Flat Files, and more.  This includes experience with data extraction, transformation, and loading (ETL)  processes. ● Database Skills: Proficient in PL/SQL development and scripting, with strong SQL  development skills in complex queries and joins. This includes the ability to write efficient  and optimized SQL code. ● Dashboard Development: Experience in designing and developing dashboards, KPIs,  and set analysis in QlikSense. This includes creating interactive and dynamic  dashboards that provide actionable insights. ● Server Administration: Familiarity with QlikSense Server administration, directory  structure, and security features. This includes experience with user management, data  governance, and data security. ● Publish Environment: Knowledge of QlikSense Publish environment and functions,  including Date and Time, Keep, Join, Mapping, String & input Fields, etc. This includes  understanding how to publish and deploy Qliksense applications. ● Additional Skills: Advantageous to have experience in BI, reporting tools, data  warehouse, Python, Django, and N-Printing administration. This includes familiarity with  data visualization tools, data mining techniques, and data analytics methodologies. ● Communication: Strong communication skills, with the ability to effectively  communicate technical information to both technical and non-technical stakeholders. Responsibilities ● Solution Development: Design, build, test, and debug QlikSense solutions using  release management tools like Jira and GitHub. This includes developing and  maintaining Qliksense applications, dashboards, and reports. ● Performance Optimization: Optimize data loads and QlikSense applications for  efficient performance. This includes identifying performance bottlenecks, optimizing data  models, and improving data loading times. ● Collaboration: Collaborate with the team to deliver high-quality solutions. This includes  working with cross-functional teams, providing technical guidance, and ensuring that  solutions meet business requirements. ● Documentation: Maintain accurate and up-to-date documentation of Qliksense  solutions, including technical specifications, design documents, and user guides. ● Troubleshooting: Troubleshoot and resolve technical issues related to Qliksense  applications, data loads, and server administration. ● Best Practices: Ensure adherence to best practices in Qliksense development, data  modeling, and server administration. This includes following industry standards, coding  standards, and security guidelines