Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

We are looking for an experienced Embedded Voice & ML Applications Engineer with a strong background in embedded systems and machine learning for edge devices. The role involves developing and optimizing real-time applications for voice and ML use cases on low-power, resource-constrained platforms. Key Responsibilities : - Develop embedded software in C for voice and ML applications. - Work with RTOS (FreeRTOS) for real-time processing. - Perform board bring-up and low-level hardware interfacing. - Optimize systems for low power and performance efficiency. - Implement and port models using TensorFlow Lite Micro or PyTorch. - Debug multicore applications and integrate with NPUs. - Work with linker scripts (GCC, IAR, ARM) and embedded toolchains. - Handle DSP/ISP processing and real-time data flows. Required Skills : - 5+ years of experience in embedded development. - Strong in C programming, RTOS, and hardware-level debugging. - Experience with ML frameworks and real-time model deployment. - Good understanding of multicore systems, NPU, and signal processing. - Familiarity with embedded toolchains and linker scripts.

We are seeking an experienced Adobe Workfront Developer with expertise in Workfront and Workfront Fusion to design, implement, and optimise work management and automation solutions. The ideal candidate will have a strong technical and functional understanding of Adobe Workfront, extensive experience with workflow automation, and the ability to mentor teams while driving system efficiency. Role Expectations : - Design, develop, and maintain workflow automation using Adobe Workfront and Workfront Fusion. - Configure Workfront objects, including custom forms, templates, approval workflows, access levels, and layout templates to optimize user experience. - Automate business processes and optimize workflow performance using Workfront Fusion and APIs. - Integrate Adobe Workfront with Adobe Experience Manager (AEM), Adobe Assets, and other third-party applications. - Develop and maintain Workfront Fusion automation workflows to streamline processes. - Ensure seamless data flow between Workfront and other enterprise tools using native connectors and APIs. - Configure Workfront features, such as custom forms, templates, approval workflows, and advanced reporting (text mode). - Develop and maintain integrations using Workfront Fusion with AEM, Adobe Assets, and other enterprise tools. Must Have : - Deep knowledge of Adobe Workfront, including setup, object types, and reporting. - Experience with Workfront Fusion and workflow automation. - Strong understanding of integration processes with AEM and other enterprise tools. - Strong troubleshooting skills for resolving Workfront and Fusion-related issues. Nice to Have : - Familiarity with advanced reporting (text mode) in Workfront. - Experience with system governance and managing user access levels. Experience : - 1+ years of Workfront implementation experience for large organisations. - 1+ years of experience with Workfront Fusion integration. - Hands-on experience with Workfront setup, workflows, and reporting dashboards. Certifications : - Adobe Workfront Developer Core & Fusion Certifications. - A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferred.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

We are seeking an experienced Adobe Workfront Developer with expertise in Workfront and Workfront Fusion to design, implement, and optimise work management and automation solutions. The ideal candidate will have a strong technical and functional understanding of Adobe Workfront, extensive experience with workflow automation, and the ability to mentor teams while driving system efficiency. Role Expectations : - Design, develop, and maintain workflow automation using Adobe Workfront and Workfront Fusion. - Configure Workfront objects, including custom forms, templates, approval workflows, access levels, and layout templates to optimize user experience. - Automate business processes and optimize workflow performance using Workfront Fusion and APIs. - Integrate Adobe Workfront with Adobe Experience Manager (AEM), Adobe Assets, and other third-party applications. - Develop and maintain Workfront Fusion automation workflows to streamline processes. - Ensure seamless data flow between Workfront and other enterprise tools using native connectors and APIs. - Configure Workfront features, such as custom forms, templates, approval workflows, and advanced reporting (text mode). - Develop and maintain integrations using Workfront Fusion with AEM, Adobe Assets, and other enterprise tools. Must Have : - Deep knowledge of Adobe Workfront, including setup, object types, and reporting. - Experience with Workfront Fusion and workflow automation. - Strong understanding of integration processes with AEM and other enterprise tools. - Strong troubleshooting skills for resolving Workfront and Fusion-related issues. Nice to Have : - Familiarity with advanced reporting (text mode) in Workfront. - Experience with system governance and managing user access levels. Experience : - 1+ years of Workfront implementation experience for large organisations. - 1+ years of experience with Workfront Fusion integration. - Hands-on experience with Workfront setup, workflows, and reporting dashboards. Certifications : - Adobe Workfront Developer Core & Fusion Certifications. - A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferred.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Role Expectations : - Design, develop, and implement integration solutions using MuleSoft to connect Salesforce with external systems (e.g., ERP, third-party APIs). - Build and maintain APIs and integration flows using MuleSoft Anypoint Platform, including API Manager, Runtime Manager, and DataWeave. - Collaborate with Salesforce developers and cross-functional teams to understand business requirements and deliver integrated solutions. - Support and enhance integration between Salesforce Sales Cloud / Experience Cloud and other systems. - Develop and maintain custom logic in Salesforce using APEX and Lightning Web Components (LWC) as needed to support integration workflows. - Conduct unit testing, system testing, and support user acceptance testing for integration solutions. - Monitor, troubleshoot, and resolve issues in integration flows and ensure high system reliability and performance. - Provide ongoing support and documentation for integration solutions. Qualifications : Experience : - Minimum 5 years of hands-on development experience with MuleSoft, including API-led connectivity and integration patterns. - Strong background working with Salesforce Sales Cloud and Experience Cloud, particularly in the context of integration. Technical Skills : - Proficiency with MuleSoft Anypoint Platform API design, development, and management. - Strong knowledge of DataWeave, MuleSoft Connectors, and RAML. - Familiarity with Salesforce development, including APEX, LWC, and Salesforce APIs (REST/SOAP). - Experience designing secure, scalable, and reusable integration architectures. Certifications : Salesforce Developer Certification and MuleSoft Certification are a plus. Soft Skills : Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

We are seeking an experienced Adobe Workfront Developer with expertise in Workfront and Workfront Fusion to design, implement, and optimise work management and automation solutions. The ideal candidate will have a strong technical and functional understanding of Adobe Workfront, extensive experience with workflow automation, and the ability to mentor teams while driving system efficiency. Role Expectations : - Design, develop, and maintain workflow automation using Adobe Workfront and Workfront Fusion. - Configure Workfront objects, including custom forms, templates, approval workflows, access levels, and layout templates to optimize user experience. - Automate business processes and optimize workflow performance using Workfront Fusion and APIs. - Integrate Adobe Workfront with Adobe Experience Manager (AEM), Adobe Assets, and other third-party applications. - Develop and maintain Workfront Fusion automation workflows to streamline processes. - Ensure seamless data flow between Workfront and other enterprise tools using native connectors and APIs. - Configure Workfront features, such as custom forms, templates, approval workflows, and advanced reporting (text mode). - Develop and maintain integrations using Workfront Fusion with AEM, Adobe Assets, and other enterprise tools. Must Have : - Deep knowledge of Adobe Workfront, including setup, object types, and reporting. - Experience with Workfront Fusion and workflow automation. - Strong understanding of integration processes with AEM and other enterprise tools. - Strong troubleshooting skills for resolving Workfront and Fusion-related issues. Nice to Have : - Familiarity with advanced reporting (text mode) in Workfront. - Experience with system governance and managing user access levels. Experience : - 1+ years of Workfront implementation experience for large organisations. - 1+ years of experience with Workfront Fusion integration. - Hands-on experience with Workfront setup, workflows, and reporting dashboards. Certifications : - Adobe Workfront Developer Core & Fusion Certifications. - A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferred.

Job Summary : We are seeking Kentico-certified developers to support the migration of multiple websites from Kentico 11/12 (Web Forms) to the latest Experience by Kentico (ASP.NET Core MVC). This role involves redevelopment of custom modules, content migration, API integration, and participation in agile ceremonies. Key Responsibilities : - Rebuild ~150+ custom Kentico components in ASP.NET Core MVC. - Create dynamic page templates, widgets, APIs, and event handlers. - Perform both scripted and manual content migration from Kentico 12. - Conduct thorough functional QA testing and resolve issues. - Collaborate with internal teams via regular stand-up meetings. - Ensure all development aligns with Kentico best practices and standards. Required Qualifications : - Kentico Developer Certification (mandatory). - Proven experience with Kentico Xperience v13+ and newer. - Proficiency in ASP.NET Core MVC and web application development. - Strong background in CMS migration and custom Kentico module development. - Ability to operate as an independent contractor or vendor. - Excellent communication and collaboration skills. - Availability for remote work, either part-time or full-time.

Key Responsibilities : - Integration of user-facing elements developed by front-end developers. - Build efficient, testable, and reusable PHP modules. - Solve complex performance problems and architectural challenges. - Integration of data storage solutions. Skills And qualifications : - Strong knowledge of PHP web frameworks {such as Laravel, database management. - Understanding the fully synchronous behavior of PH. - Understanding of MVC design pattern. - Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS. - Knowledge of object-oriented PHP programming. - Understanding accessibility and security compliance. - Strong knowledge of the common PHP or web server exploits and their solution. - Understanding fundamental design principles behind a scalable application. - User authentication and authorization between multiple systems, servers, and environment. - Integration of multiple data sources and databases into one system. - Familiarity with the limitations of PHP as a platform and its workaround. - Creating database schemas that represent and support business processes. - Familiarity with SQL/NoSQL databases and their declarative query language. - Proficient understanding of code versioning tools, such as Gi.

Role Expectations : - Design, develop, and implement integration solutions using MuleSoft to connect Salesforce with external systems (e.g., ERP, third-party APIs). - Build and maintain APIs and integration flows using MuleSoft Anypoint Platform, including API Manager, Runtime Manager, and DataWeave. - Collaborate with Salesforce developers and cross-functional teams to understand business requirements and deliver integrated solutions. - Support and enhance integration between Salesforce Sales Cloud / Experience Cloud and other systems. - Develop and maintain custom logic in Salesforce using APEX and Lightning Web Components (LWC) as needed to support integration workflows. - Conduct unit testing, system testing, and support user acceptance testing for integration solutions. - Monitor, troubleshoot, and resolve issues in integration flows and ensure high system reliability and performance. - Provide ongoing support and documentation for integration solutions. Qualifications : Experience : - Minimum 5 years of hands-on development experience with MuleSoft, including API-led connectivity and integration patterns. - Strong background working with Salesforce Sales Cloud and Experience Cloud, particularly in the context of integration. Technical Skills : - Proficiency with MuleSoft Anypoint Platform API design, development, and management. - Strong knowledge of DataWeave, MuleSoft Connectors, and RAML. - Familiarity with Salesforce development, including APEX, LWC, and Salesforce APIs (REST/SOAP). - Experience designing secure, scalable, and reusable integration architectures. Certifications : Salesforce Developer Certification and MuleSoft Certification are a plus. Soft Skills : Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.

Role Expectations : - Design, develop, and implement integration solutions using MuleSoft to connect Salesforce with external systems (e.g., ERP, third-party APIs). - Build and maintain APIs and integration flows using MuleSoft Anypoint Platform, including API Manager, Runtime Manager, and DataWeave. - Collaborate with Salesforce developers and cross-functional teams to understand business requirements and deliver integrated solutions. - Support and enhance integration between Salesforce Sales Cloud / Experience Cloud and other systems. - Develop and maintain custom logic in Salesforce using APEX and Lightning Web Components (LWC) as needed to support integration workflows. - Conduct unit testing, system testing, and support user acceptance testing for integration solutions. - Monitor, troubleshoot, and resolve issues in integration flows and ensure high system reliability and performance. - Provide ongoing support and documentation for integration solutions. Qualifications : Experience : - Minimum 5 years of hands-on development experience with MuleSoft, including API-led connectivity and integration patterns. - Strong background working with Salesforce Sales Cloud and Experience Cloud, particularly in the context of integration. Technical Skills : - Proficiency with MuleSoft Anypoint Platform API design, development, and management. - Strong knowledge of DataWeave, MuleSoft Connectors, and RAML. - Familiarity with Salesforce development, including APEX, LWC, and Salesforce APIs (REST/SOAP). - Experience designing secure, scalable, and reusable integration architectures. Certifications : Salesforce Developer Certification and MuleSoft Certification are a plus. Soft Skills : Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.

Key Responsibilities : - Integration of user-facing elements developed by front-end developers. - Build efficient, testable, and reusable PHP modules. - Solve complex performance problems and architectural challenges. - Integration of data storage solutions. Skills And qualifications : - Strong knowledge of PHP web frameworks {such as Laravel, database management. - Understanding the fully synchronous behavior of PH. - Understanding of MVC design pattern. - Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS. - Knowledge of object-oriented PHP programming. - Understanding accessibility and security compliance. - Strong knowledge of the common PHP or web server exploits and their solution. - Understanding fundamental design principles behind a scalable application. - User authentication and authorization between multiple systems, servers, and environment. - Integration of multiple data sources and databases into one system. - Familiarity with the limitations of PHP as a platform and its workaround. - Creating database schemas that represent and support business processes. - Familiarity with SQL/NoSQL databases and their declarative query language. - Proficient understanding of code versioning tools, such as Gi.

Key Responsibilities : - Integration of user-facing elements developed by front-end developers. - Build efficient, testable, and reusable PHP modules. - Solve complex performance problems and architectural challenges. - Integration of data storage solutions. Skills And qualifications : - Strong knowledge of PHP web frameworks {such as Laravel, database management. - Understanding the fully synchronous behavior of PH. - Understanding of MVC design pattern. - Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS. - Knowledge of object-oriented PHP programming. - Understanding accessibility and security compliance. - Strong knowledge of the common PHP or web server exploits and their solution. - Understanding fundamental design principles behind a scalable application. - User authentication and authorization between multiple systems, servers, and environment. - Integration of multiple data sources and databases into one system. - Familiarity with the limitations of PHP as a platform and its workaround. - Creating database schemas that represent and support business processes. - Familiarity with SQL/NoSQL databases and their declarative query language. - Proficient understanding of code versioning tools, such as Gi.

Role Expectations : - Design, develop, and implement integration solutions using MuleSoft to connect Salesforce with external systems (e.g., ERP, third-party APIs). - Build and maintain APIs and integration flows using MuleSoft Anypoint Platform, including API Manager, Runtime Manager, and DataWeave. - Collaborate with Salesforce developers and cross-functional teams to understand business requirements and deliver integrated solutions. - Support and enhance integration between Salesforce Sales Cloud / Experience Cloud and other systems. - Develop and maintain custom logic in Salesforce using APEX and Lightning Web Components (LWC) as needed to support integration workflows. - Conduct unit testing, system testing, and support user acceptance testing for integration solutions. - Monitor, troubleshoot, and resolve issues in integration flows and ensure high system reliability and performance. - Provide ongoing support and documentation for integration solutions. Qualifications : Experience : - Minimum 5 years of hands-on development experience with MuleSoft, including API-led connectivity and integration patterns. - Strong background working with Salesforce Sales Cloud and Experience Cloud, particularly in the context of integration. Technical Skills : - Proficiency with MuleSoft Anypoint Platform API design, development, and management. - Strong knowledge of DataWeave, MuleSoft Connectors, and RAML. - Familiarity with Salesforce development, including APEX, LWC, and Salesforce APIs (REST/SOAP). - Experience designing secure, scalable, and reusable integration architectures. Certifications : Salesforce Developer Certification and MuleSoft Certification are a plus. Soft Skills : Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.

Role Expectations : - Design, develop, and implement integration solutions using MuleSoft to connect Salesforce with external systems (e.g., ERP, third-party APIs). - Build and maintain APIs and integration flows using MuleSoft Anypoint Platform, including API Manager, Runtime Manager, and DataWeave. - Collaborate with Salesforce developers and cross-functional teams to understand business requirements and deliver integrated solutions. - Support and enhance integration between Salesforce Sales Cloud / Experience Cloud and other systems. - Develop and maintain custom logic in Salesforce using APEX and Lightning Web Components (LWC) as needed to support integration workflows. - Conduct unit testing, system testing, and support user acceptance testing for integration solutions. - Monitor, troubleshoot, and resolve issues in integration flows and ensure high system reliability and performance. - Provide ongoing support and documentation for integration solutions. Qualifications : Experience : - Minimum 5 years of hands-on development experience with MuleSoft, including API-led connectivity and integration patterns. - Strong background working with Salesforce Sales Cloud and Experience Cloud, particularly in the context of integration. Technical Skills : - Proficiency with MuleSoft Anypoint Platform API design, development, and management. - Strong knowledge of DataWeave, MuleSoft Connectors, and RAML. - Familiarity with Salesforce development, including APEX, LWC, and Salesforce APIs (REST/SOAP). - Experience designing secure, scalable, and reusable integration architectures. Certifications : Salesforce Developer Certification and MuleSoft Certification are a plus. Soft Skills : Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.

Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.