28 Exploratory Testing Jobs nearby Guntur

As a Compliance Test Engineer, you will be responsible for the following: - Designing and executing manual test cases for SymphonyAI NetReveal AML TM (Transaction Monitoring) and SymphonyAI NetReveal CRR (Customer Risk Rating). - Demonstrating good experience with applications like Firco, FRSM, Compliance systems, and their interface dependencies. - Possessing a strong understanding of AML, Risk Management, and compliance management. - Conducting exploratory testing, defect reporting, Requirement Traceability Matrix (RTM), and Test Environment Management. - Having good experience in System Integration Testing (SIT) and User Acceptance Testing (UAT) for Compliance systems modules. - Performing UAT testing including validation against business requirements and reporting on user satisfaction. - Having knowledge of API Testing would be a plus. Qualifications required for this role: - Minimum 4+ years of experience in Compliance Testing domain. - Familiarity with banking domain is preferred. - Strong communication skills and ability to work in a team. If you are interested in this opportunity, please share your resumes with jobs.bfs@valuelabs.com. As a Compliance Test Engineer, you will be responsible for the following: - Designing and executing manual test cases for SymphonyAI NetReveal AML TM (Transaction Monitoring) and SymphonyAI NetReveal CRR (Customer Risk Rating). - Demonstrating good experience with applications like Firco, FRSM, Compliance systems, and their interface dependencies. - Possessing a strong understanding of AML, Risk Management, and compliance management. - Conducting exploratory testing, defect reporting, Requirement Traceability Matrix (RTM), and Test Environment Management. - Having good experience in System Integration Testing (SIT) and User Acceptance Testing (UAT) for Compliance systems modules. - Performing UAT testing including validation against business requirements and reporting on user satisfaction. - Having knowledge of API Testing would be a plus. Qualifications required for this role: - Minimum 4+ years of experience in Compliance Testing domain. - Familiarity with banking domain is preferred. - Strong communication skills and ability to work in a team. If you are interested in this opportunity, please share your resumes with jobs.bfs@valuelabs.com.

You will be responsible for: - Performing manual and automated testing of AEM-based web applications and components. - Validating templates, components, workflows, and content authoring functionalities. - Conducting regression, smoke, and exploratory testing across multiple environments. - Collaborating with developers, product managers, and content authors to define and validate requirements. - Identifying, documenting, and tracking defects through the defect management process. - Participating in daily stand-ups, sprint planning, and retrospectives. - Writing and maintaining automation scripts for regression and sanity suites at a basic level. - Validating DAM assets, metadata, and content deployment across environments. Required Skills: - Experience in testing AEM Sites in author and publish environments. - Strong understanding of AEM authoring concepts such as templates, components, workflows, and assets. - Good hands-on experience with browser dev tools and inspecting AEM page structure. - Basic automation skills using Selenium, Robot Framework, TestNG, Python, or Java. - Familiarity with tools like JIRA, TestRail/Xray, and browserstack or similar platforms. - Solid understanding of QA methodologies, SDLC, and Agile/Scrum. - Expertise in API Testing - Experience in Database Testing It would be nice to have: - Experience testing AEM Forms or AEM Assets. - Basic exposure to CI/CD tools like Jenkins or GitHub Actions. - Knowledge of analytics tag validation with tools such as Adobe Analytics or Google Tag Manager.,

Role Overview: As a Specialist I, Quality Assurance Engineer at EY, you will be responsible for providing intermediate level systems quality assurance testing services and implementing new techniques and tools to enhance software development quality and efficiency. Your role will involve executing usability, regression, and stress tests, preparing test reports, and contributing feedback during design reviews to ensure application performance and user experience meet defined standards. Key Responsibilities: - Participate in the implementation and maintenance of test automation strategies, conducting test design and coding reviews to ensure quality. - Translate functional requirements and technical specifications into test scripts for new development or enhancement projects. - Follow up on the quality assurance testing process to ensure that all information system products and services meet company standards and end-user requirements. - Analyze input and output of test data, identify discrepancies, document exceptions, and make recommendations for improvement. - Develop and document quality assurance standards, recognizing areas for policy and procedure changes. - Collaborate with IT teams to execute manual End-to-End test cases and exploratory tests, following test case standards. - Conduct usability tests to evaluate user experience and application performance, ensuring software meets accessibility and design standards. - Perform regression testing and stress testing to verify application stability and responsiveness under various load conditions. - Prepare comprehensive test reports documenting outcomes, bugs, usability concerns, and recommendations to the development and design teams. Qualification Required: - Minimum 3 years of experience in software quality assurance, specializing in automation and manual testing. - Bachelors degree in relevant fields such as Computer Science, IT, or Software Engineering, or a Masters degree/Diploma in Computer Science. - Proficiency in Agile, Confluence, JIRA, Monitoring and refining dashboards, and Continuous process improvement for process flows/workflows. - Hands-on experience with API testing (Postman, RestAssured) and performance testing tools (JMeter, LoadRunner). - Experience in using JIRA, HP ALM, or TestRail for bug tracking and working in Agile/Scrum environments with CI/CD integration. Additional Company Details: At EY, technology plays a crucial role in supporting the organization's efficiency and operation across its global network. With a focus on innovation and growth, EY Technology encompasses three business units: Client Technology, Enterprise Workplace Technology, and Information Security. As a part of the Client Technology team, you will have the opportunity to work at the forefront of integrating emerging technologies into EY's services, contributing to growth and making a real impact in the industry. EY values inclusivity and offers flexible working arrangements to support a work-life balance for its employees.,

As a Data Scientist at USP, you will play a crucial role in driving innovations and delivering digital solutions by utilizing your skills in advanced analytics, including predictive modeling, machine learning, and natural language processing. Your primary responsibilities will include: - Utilizing exploratory data analysis techniques to spot anomalies, understand patterns, test hypotheses, and check assumptions. - Applying various machine learning techniques for classification or regression tasks to drive business impact in an agile manner. - Employing natural language processing techniques to extract information and enhance business workflows. - Interpreting and articulating results clearly to audiences with varying technical backgrounds. - Collaborating with data scientists, data engineers, and the IT team to ensure successful project delivery. Qualifications required for this role include: - Bachelor's degree in a relevant field such as Engineering, Analytics, Data Science, Computer Science, or Statistics, or equivalent experience. - For Senior Data Scientist role: 5-7 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing. Proficiency in Python and packages like pandas, numpy, scikit-learn, etc., as well as SQL. - For Lead Data Scientist role: 8-10 years of hands-on experience with technical proficiency in Python, SQL, and CNN/RNN models. Additionally, experience with data extraction, scraping, and mentoring team members is required. Desired preferences include a Master's degree in Information Systems Management, Analytics, Data Engineering, or related fields, experience in scientific chemistry nomenclature or life sciences, and proficiency in using GenAI concepts with graph data. You should also have the ability to explain complex technical issues to a non-technical audience, handle multiple projects concurrently, and make tough decisions when necessary. USP offers a range of benefits to ensure your personal and financial well-being, including paid time off, healthcare options, and retirement savings. Kindly note that USP does not accept unsolicited resumes from third-party recruitment agencies.,

Role Overview: As a QA Engineer at Fortuna, you will be responsible for executing manual test cases and test scripts for various application features and functionality. Your role will involve managing and tracking defects using JIRA, collaborating with the development team to diagnose bugs, and ensuring fixes are applied effectively. You will also be responsible for planning and managing test executions using Zephyr, performing various types of manual testing, including functional, regression, smoke, exploratory, compatibility, and cross-browser testing. Additionally, you will conduct native mobile application testing for iOS and Android devices and utilize cloud-based cross-browser testing platforms like LambdaTest. Your collaboration with cross-functional teams, reporting detailed test status, and contributing to the continuous improvement of QA processes will be essential in ensuring software quality and a seamless user experience. Key Responsibilities: - Execute manual test cases and test scripts for various application features and functionality. - Manage and track defects using JIRA and ensure they are followed through to closure. - Work with the development team to replicate and diagnose bugs and ensure effective fixes. - Use Zephyr to plan and manage test executions, ensuring full traceability between test cases and requirements. - Perform various types of manual testing, including functional, regression, smoke, exploratory, compatibility, and cross-browser testing. - Conduct native mobile application testing (iOS and Android) to ensure functionality, usability, and performance across devices. - Utilize cloud-based cross-browser testing platforms like LambdaTest to ensure compatibility across multiple browsers and operating systems. - Collaborate with QA Analysts, product owners, and QA Leads to review bugs, understand workflows, scenarios, and acceptance criteria. - Provide detailed reports on the status of tests, including coverage, bugs, and overall system quality. - Contribute to the continuous improvement of QA processes. Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or related field. - At least 3 years of experience in manual software testing. - ISTQB Certification. - Strong experience using JIRA and Zephyr for test management. - Familiarity with native mobile application testing (iOS and Android) is a plus. - Knowledge of cross-browser testing platforms such as LambdaTest is a plus. - Strong English communication skills (written and spoken) are essential. - Familiarity with the entire Software Development Lifecycle (SDLC) and Quality Assurance processes. Additional Company Details: Fortuna is an established brand known for its modern technologies and exciting projects. The workplace at the remarkable Churchill II building in Prague reflects the company's corporate culture and values, promoting ecological and ideal work conditions. Teamwork, respect, openness, and honor are key aspects of the company's culture, emphasizing collaboration and diversity.,

Role Overview: You will be a part of a global collaborative team at Amgen, working towards serving patients and contributing to the research, manufacturing, and delivery of innovative biotechnology products. Your role will involve supporting analytics and modeling projects across therapeutic areas, assisting in data preparation and analysis, maintaining dashboards, and contributing to project delivery. Key Responsibilities: - Support the execution of analytics and modeling projects across therapeutic areas and assist in capability activities like next best action. - Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy. - Help maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments. - Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries. - Support documentation, version control, and deployment practices using standardized platforms and tools. - Continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, and causal inference. Qualifications Required: - Bachelors or Masters in Data Science, Engineering, Statistics, or a related quantitative field. - 3-5 years of experience in analytics, modeling, or data science delivery. - Working knowledge of Python and SQL; comfort working in Databricks or similar environments. - Experience with data visualization and performance metric tracking. - Strong attention to detail and a focus on delivering high-quality, reproducible work. Additional Company Details: At Amgen, the focus is not only on developing treatments but also on caring for the professional and personal growth and well-being of team members. Preferred qualifications for this role include exposure to marketing mix modeling, predictive modeling, or experiment-based analytics, interest in life sciences, healthcare, or pharma analytics environments, familiarity with tools such as MLflow, Git, or Jupyter notebooks, and demonstrated ability to collaborate effectively with analysts, engineers, or business partners.,

Role Overview: You will report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests, and maintain data visualization tools delivering people and business metrics. Your responsibilities will include designing and developing compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques. You will deliver operational talent reports with data-driven narratives, engage with People team and business stakeholders to gather requirements, and support scheduled/ad hoc reporting. Additionally, you will develop, implement, and maintain dashboards and reports for key stakeholders, innovate to automate and streamline processes, handle sensitive human capital data with discretion and sound judgment, and collaborate with project teams to ensure correct identification of data impacted by changes. Key Responsibilities: - Design and develop compelling dashboards using advanced analytics and interactive dashboard design. - Deliver operational talent reports with data-driven narratives. - Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting. - Develop, implement, and maintain dashboards and reports for key stakeholders. - Innovate to automate and streamline processes. - Responsible for data cleansing, validation, testing, and large-scale data analysis. - Collaborate with project teams to ensure correct identification of data impacted by changes. Qualifications Required: - Bachelors degree in engineering, Computer Science, Mathematics, or related technical field. - 8+ years of total experience with at least 5 years of relevant experience in analytics roles working with large datasets. - Self-motivated, curious, independent, and eager to learn. - Proficiency in analytics data modeling, storytelling, and visualization using tableau, Power BI, SQL, and other advanced analytical tools. - Exposure to R, Python is an added advantage. - Experience in Workday reporting, Viva GLINT, Visier, HR data systems. - Preprocessing structured/unstructured data. - Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX. Additional Details of the Company: - Ability to work in virtual teams across time zones. - Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management). - People management experience is a plus. - Knowledge of ERP, HR systems, and Business Intelligence tools. - Ability to handle stress and prioritize effectively with management support.,

You will be responsible for the following tasks in the role of Data Robot: - Strong Data science and ML ops experience - Able to create data pipeline and productionalize models - Strong Python and SQL skills - Create visualizations and perform EDA - Hands-on experience with Azure - Perform ML models performance monitoring using statistical techniques and Python - Provide insights on the robustness of the models relative to various inputs provided to the model - Prepare reports based on the model output and exploratory analysis using Excel - Develop data ingestion processes and maintain data quality - Ensure ML models and systems meet required standards before deployment - Develop testing strategies for model validation - Implement CI/CD pipelines for model monitoring - Create value for clients and client service teams by understanding their needs and translating them into optimal desired analytical services - Perform legacy code migration to Python notebooks - Partner with client service team members to ensure timely delivery of results and recommendations - Apply state-of-the-art advanced analytics and quantitative tools and modeling techniques to derive business insights and solve complex business problems - Communicate the understanding to the Business audience - Monitor model performance in Data Robot using version 8.0.2.1 (Models will run outside Data Robot, monitoring required in Data Robot) - Create dashboards in Data Robot and custom metrics if required - Ability to estimate tasks Qualifications required for this role: - Minimum 2-6 years of experience in Data Science - Minimum 2-6 years of experience in Python Programming - Must have machine learning model development experience - Excellent communication skills - Proficiency in machine learning and statistical data analysis using Python - Proficiency in using query languages such as SQL - Good to have Data Robot experience - Good to have Airflow experience - Experienced in handling large datasets, both structured and unstructured - Good to have experience in Power BI,