Key Responsibilities Design robust and scalable RPA solutions using Automation Anywhere best practices, taking full technical ownership of project delivery, either individually or as a team lead. Lead both strategic and tactical RPA rollouts for large enterprise clients, guiding them through the automation journey. Provide comprehensive training (online or in-person) to clients and partners. Consult with them on solution design, project management, business process improvement, and risk Develop and document best practices for RPA configuration and deployment, ensuring high-quality, standardized solutions. Actively contribute to team training and development, mentoring junior resources and enforcing best practices. Maintain up-to-date knowledge of all Automation Anywhere products and services, including AARI, Bot Insight, and Multibot architecture. Participate in demos and provide technical due diligence during process assessments, helping to identify automation opportunities. Extend product functionality by integrating with various systems, collaborating closely with support, engineering, and sales teams to ensure overall project Skills : Proven strong experience in Automation Anywhere Enterprise solutions. Solid background in .NET Framework (C#, ASP.NET), Java, or PHP Development. Proficiency with front-end technologies including HTML, JavaScript, CSS, Bootstrap, Ajax, jQuery, and XML. Hands-on experience with database systems such as SQL Server and MySQL. Comprehensive Full SDLC (Software Development Life Cycle) experience. Strong understanding of web design patterns. Knowledge of AARI, Bot Insight, and Multibot architecture. Solid grasp of data structures and optimization techniques. Proven ability to mentor teams and enforce best practices, with experience in leading/managing a team of at least 5 people. Strong stakeholder engagement skills to align efforts and help achieve organizational goals. (ref:hirist.tech)

As an experienced RPA Developer, you will be responsible for designing robust and scalable RPA solutions using Automation Anywhere best practices. You will take full technical ownership of project delivery, whether working individually or as a team lead. Your role will involve leading both strategic and tactical RPA rollouts for large enterprise clients, guiding them through the automation journey. Additionally, you will provide comprehensive training to clients and partners, either online or in-person. In this position, you will consult with clients on solution design, project management, business process improvement, and risk. It will be essential for you to develop and document best practices for RPA configuration and deployment to ensure high-quality and standardized solutions. You will actively contribute to team training and development by mentoring junior resources and enforcing best practices. To excel in this role, you must maintain up-to-date knowledge of all Automation Anywhere products and services, including AARI, Bot Insight, and Multibot architecture. You will participate in demos and provide technical due diligence during process assessments to identify automation opportunities. Moreover, you will extend product functionality by integrating with various systems, collaborating closely with support, engineering, and sales teams. The ideal candidate will possess proven strong experience in Automation Anywhere Enterprise solutions. A solid background in .NET Framework (C#, ASP.NET), Java, or PHP Development is required. Proficiency in front-end technologies such as HTML, JavaScript, CSS, Bootstrap, Ajax, jQuery, and XML is essential. Hands-on experience with database systems like SQL Server and MySQL is a plus. Comprehensive Full SDLC (Software Development Life Cycle) experience, a strong understanding of web design patterns, and knowledge of AARI, Bot Insight, and Multibot architecture are highly desirable. You should have a solid grasp of data structures and optimization techniques. Your proven ability to mentor teams, enforce best practices, and lead/manage a team of at least 5 people will be crucial in this role. Strong stakeholder engagement skills are necessary to align efforts and help achieve organizational goals.,

You will be responsible for designing robust and scalable RPA solutions using Automation Anywhere best practices, taking full technical ownership of project delivery either individually or as a team lead. Your role will involve leading both strategic and tactical RPA rollouts for large enterprise clients, guiding them through the automation journey. Additionally, you will provide comprehensive training to clients and partners, consulting with them on solution design, project management, business process improvement, and risk. It will be your responsibility to develop and document best practices for RPA configuration and deployment, ensuring high-quality and standardized solutions. You will actively contribute to team training and development by mentoring junior resources and enforcing best practices. To excel in this role, you should have proven strong experience in Automation Anywhere Enterprise solutions and a solid background in .NET Framework (C#, ASP.NET), Java, or PHP Development. Proficiency with front-end technologies including HTML, JavaScript, CSS, Bootstrap, Ajax, jQuery, and XML is essential. Hands-on experience with database systems such as SQL Server and MySQL is required. You should have comprehensive Full SDLC (Software Development Life Cycle) experience and a strong understanding of web design patterns. Knowledge of AARI, Bot Insight, and Multibot architecture is beneficial. A solid grasp of data structures and optimization techniques is expected. Moreover, your role will involve extending product functionality by integrating with various systems, collaborating closely with support, engineering, and sales teams to ensure overall project success. You will also participate in demos and provide technical due diligence during process assessments to help identify automation opportunities. Strong stakeholder engagement skills are crucial to align efforts and help achieve organizational goals.,

Data Analyst (Data Visualization & Reporting) Key Responsibilities Work with large datasets from various inspection sources (LiDAR, drones, thermal imaging). Build insightful dashboards and reports using tools like Power BI, Tableau, or Looker. Develop and deploy predictive models and statistical analyses to detect anomalies and prevent failures. Collaborate with engineering and operations teams to translate complex data into operational insights. Ensure high-quality, clean, and consistent data by implementing validation pipelines. Apply basic electrical domain knowledge (fault detection, insulator/conductor analysis, etc.) for enriched interpretations. Continuously improve analysis workflows and automate repetitive data processes. Required Skills & Experience 3+ years of hands-on experience as a Data Analyst/Data Scientist. Strong skills in SQL, Python (Pandas, NumPy), or R for data manipulation. Proficiency in data visualization tools : Power BI, Tableau, Looker, etc. Experience in working with time-series data or sensor-based data from industrial sources. Exposure to predictive analytics, ML algorithms, or data modeling techniques. Solid understanding of data pipelines and best practices in data management. Familiarity with AWS/Azure/GCP for data processing is a plus. Background or familiarity with geospatial data or tools like QGIS is a bonus. Preferred Qualifications Degree in Data Science, Engineering, Computer Science, Prior experience with inspection data, IoT, or utilities/power transmission systems. Knowledge of domain-specific platforms used for power line inspections. Certification in data analysis/ML platforms (Google Data Analytics, Microsoft DA, etc. Soft Skills Strong analytical thinking and attention to detail. Ability to convert technical findings into business-focused insights. Team player with cross-functional collaboration experience. Effective written and verbal communication skills (ref:hirist.tech)

As a Data Analyst specializing in Data Visualization & Reporting, you will be responsible for working with large datasets obtained from various inspection sources such as LiDAR, drones, and thermal imaging. Your primary tasks will include building insightful dashboards and reports using tools like Power BI, Tableau, or Looker. Additionally, you will be involved in developing and deploying predictive models and statistical analyses to detect anomalies and prevent failures. Collaboration with engineering and operations teams will be crucial as you translate complex data into operational insights. Ensuring high-quality, clean, and consistent data through the implementation of validation pipelines will be part of your routine. You will also leverage basic electrical domain knowledge for enriched interpretations, focusing on fault detection, insulator/conductor analysis, and more. Furthermore, your role will involve continuously improving analysis workflows and automating repetitive data processes. To excel in this position, you should have at least 3 years of hands-on experience as a Data Analyst/Data Scientist. Proficiency in SQL, Python (Pandas, NumPy), or R for data manipulation is essential. Strong skills in data visualization tools like Power BI, Tableau, or Looker are required, along with experience in working with time-series data or sensor-based data from industrial sources. Exposure to predictive analytics, ML algorithms, or data modeling techniques will be beneficial. A solid understanding of data pipelines and best practices in data management is necessary. Familiarity with AWS/Azure/GCP for data processing is a plus, and background or familiarity with geospatial data or tools like QGIS is considered a bonus. Preferred qualifications for this role include a degree in Data Science, Engineering, or Computer Science, as well as prior experience with inspection data, IoT, or utilities/power transmission systems. Knowledge of domain-specific platforms used for power line inspections and certification in data analysis/ML platforms like Google Data Analytics or Microsoft DA will be advantageous. In addition to technical skills, soft skills such as strong analytical thinking, attention to detail, and the ability to convert technical findings into business-focused insights are essential. Being a team player with cross-functional collaboration experience and effective written and verbal communication skills will contribute to your success in this role.,