Data Validation Jobs in Ahmedabad

Junior Coordinator ERP to CRM Digitization Location: Ahmedabad Role Objective: Support the digitization and integration of ERP and CRM systems by coordinating tasks, gathering process inputs, assisting in data mapping, and ensuring smooth collaboration between internal teams and vendors for timely project delivery. Key Responsibilities Project Support & Coordination Assist the project lead in day-to-day coordination between internal teams and IT/CRM vendors. Track task progress, maintain project documentation, and escalate delays or issues promptly. Business Process Documentation Collect inputs from sales, operations, and finance teams to document workflows. Maintain process maps, SOPs, and user requirement documents. Data Handling & Validation Assist in mapping customer, product, pricing, and order data between ERP and CRM systems. Support data cleanup, migration activities, and reconciliation during testing phases. User Acceptance Testing (UAT) & User Coordination Organize and monitor UAT for CRM/ERP modules. Gather user feedback and communicate effectively with the implementation team. Training & Onboarding Support Help prepare user guides and training materials. Support internal training sessions and address basic user queries during rollout. Key Requirements Bachelor s degree in Business, Engineering, IT, or related field. 2 4 years experience in ERP/CRM support, sales operations, or business process roles. Familiarity with tools like Zoho CRM, Salesforce, SAP, Tally, or MS Dynamics preferred. Good understanding of core business processes: inquiry, quotation, order processing, and invoicing. Strong documentation, follow-up, and coordination skills. Preferred Exposure Experience with CRM or ERP implementation/support projects. Basic knowledge of integration or automation tools (e.g., Zapier, API workflows). Proficiency in Excel, Google Sheets, and documentation tools. Comfortable working across IT, sales, and accounts teams. Qualification : Bachelors degree in Business, Engineering, IT, or related field

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Data Miner / Business Development Executive Job Description: Lead Generation: Conduct lead generation through various platforms such as Apollo, online directories (Yellowpages, Pinkpages, AIA), Google search, and more to identify potential clients. Email Marketing: Execute email marketing campaigns, targeting potential leads and nurturing existing ones. Lead Follow-Ups: Actively follow up on generated leads to convert them into potential business opportunities. LinkedIn Outreach: Utilize LinkedIn to engage with prospects, build relationships, and generate business leads. Database Management: Manage and maintain an up-to-date database using HubSpot CRM software, ensuring accurate records and efficient workflow. Data Scraping: Use various data scraping tools such as Webscrapper, Data Miner, and Instant Data Scraper to gather valuable information and insights for lead generation. Requirements: Qualifications: Any graduate/postgraduate (MBA preferred). Shift Timings: Day Shift: 10:00 AM to 07:00 PM (During training period). Post-training shift timings will be determined by the Project Manager. Working Days: 5 working days per week. Qualification : Any graduate/postgraduate (MBA preferred).

Quality Analyst Location: Ahmedabad Job Overview: We are looking for a dedicated Quality Analyst to join our team. This role is responsible for ensuring the quality of our applications by following written procedures and inspection criteria. The ideal candidate will have a keen eye for detail, excellent communication skills, and a passion for problem-solving. You will be involved in the creation and execution of test plans and test cases, ensuring that the final product meets functional and design specifications. Primary Responsibilities: Test Plan Development & Test Case Design: Identify test requirements from specifications and design a test coverage plan. Develop, document, and maintain functional test cases and other test artifacts, such as test data, data validation, harness scripts, and automated scripts. Ensure that all test cases meet the specifications and align with coding standards. Test Execution & Reporting: Execute tests and deliver timely QA reports with detailed findings. Focus on meeting deadlines and delivering high-quality tests, ensuring quick identification of defects and bugs. Review & Collaboration: Hold and facilitate test plan/case reviews with cross-functional team members to ensure the quality of the product. Work closely with development, project management, and customer support teams to facilitate smooth testing processes. Ensure Compliance with Specifications: Validate that all deliverables meet functional and design specifications and requirements. Liaise with the development team to communicate bugs and issues found during testing. Problem Solving: Apply creative and technical problem-solving skills to translate requirements into effective test plans. Identify and resolve issues that arise during testing and help improve the product's overall quality. Experience Requirements: Test Case Development & Test Planning: Experience in identifying test requirements from specifications, designing test coverage plans, and developing detailed test cases. Functional Testing & Documentation: Proven ability to document and maintain functional test cases and other necessary test artifacts like test data, harness scripts, and automated scripts. Collaboration & Communication Skills: Strong verbal and written communication skills to ensure clear documentation of test plans, test cases, and bug reports. Comfortable liaising with cross-functional teams, including developers, project managers, and customer support. Problem Solving & Technical Skills: Ability to creatively solve technical problems, ensuring that testing efforts are aligned with product requirements and functionality. Attention to Detail & Focus on Deadlines: Ability to find defects quickly and ensure that deadlines for test execution and reporting are met. Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent experience. Previous experience in a Quality Analyst or Software Testing role. Strong understanding of test case development, test plans, and functional testing. Experience with automated testing scripts and test data management is a plus. Excellent problem-solving and analytical skills. If you have a strong passion for quality assurance and enjoy working in a collaborative environment, we encourage you to apply for this opportunity to ensure the success of our product testing efforts. Qualification : Bachelor's degree in Computer Science or a related field, or equivalent experience.

Job Title: QA (Manual Tester) Location: Ahmedabad, India Job Type: Full Time Job Overview: We are seeking a skilled QA Manual Tester with 2 to 5 years of experience to ensure the quality and reliability of our software applications. The ideal candidate will have a sharp eye for detail, strong analytical skills, and a passion for delivering high-quality software products. As a QA Tester, you will play a key role in ensuring that our products meet the highest standards of quality before reaching our customers. Key Responsibilities: Test Case Development & Execution: Develop, execute, and maintain manual test cases, test plans, and test scripts. Identify, document, and track software defects using bug-tracking tools. Testing Activities: Perform functional, regression, system, UI/UX, and integration testing to ensure software works as expected. Participate in requirement analysis sessions to provide feedback on usability and potential areas for quality improvements. Collaboration: Collaborate with developers, product managers, and other stakeholders to understand project requirements. Ensure test activities are aligned with project timelines and quality standards. API Testing: Validate API responses using tools like Postman (basic knowledge of API testing is preferred). Documentation: Prepare detailed test reports, document test results, and effectively communicate findings to the development team and stakeholders. Continuous Improvement: Work closely with automation teams to enhance testing efficiency and assist in automating repetitive tasks where applicable. Required Skills & Qualifications: Experience: 2 to 5 years of experience in manual testing within the IT industry. Testing Knowledge: Strong understanding of SDLC (Software Development Life Cycle), STLC (Software Testing Life Cycle), and various testing methodologies. Experience in functional testing, regression testing, UI testing, and system testing. Bug Tracking Tools: Familiarity with bug tracking tools such as JIRA, Bugzilla, or similar platforms. Database Validation: Basic knowledge of SQL queries for database validation. API Testing: Exposure to API testing using Postman is a plus. Cross-Browser & Cross-Platform Testing: Good understanding of cross-browser and cross-platform testing. Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Why Join Us: Impactful Work: Be part of a team focused on delivering high-quality software that impacts the end user experience. Collaborative Environment: Work closely with developers, product managers, and other stakeholders in a fast-paced, Agile environment. Career Growth: Opportunities to grow within the QA field, and exposure to automation testing as part of continuous learning. Innovative Projects: Work on diverse and interesting software applications across different industries. If you are passionate about quality assurance and ensuring the delivery of excellent products, we d love to hear from you. Join us and help us continue to build products that meet and exceed our customers' expectations.

Job Title: QA (Automation Engineer) Location: Ahmedabad, India Job Type: Full Time Job Overview: We are looking for a QA Automation Engineer with 2 to 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in automation testing, a passion for improving software quality, and the ability to design and implement automated test solutions. You will collaborate with cross-functional teams to ensure our products meet high-quality standards through robust automated testing practices. Key Responsibilities: Automated Test Development: Design, develop, and execute automated test scripts for web, mobile, and API testing to ensure product quality. Develop and maintain test automation frameworks using popular tools like Selenium, Appium, or Cypress. Collaboration: Work closely with developers, product managers, and manual QA teams to understand project requirements and create relevant test plans. Testing: Perform various types of testing including functional, regression, performance, and load testing to ensure comprehensive coverage. Conduct API testing using tools like Postman, REST Assured, or similar platforms. Bug Tracking: Identify, document, and track defects using JIRA, Bugzilla, or similar defect tracking tools. CI/CD Integration: Integrate test automation with CI/CD pipelines (e.g., Jenkins, GitHub Actions, or similar). Test Analysis: Analyze test results, troubleshoot test failures, and work to continuously improve testing strategies. Ensure comprehensive test coverage by maintaining and updating test cases, test scripts, and test documentation. Reporting: Provide regular quality assurance reports and contribute insights to enhance overall product quality. Required Skills & Qualifications: Experience: 2 to 5 years of experience in automation testing within the IT industry. Test Automation Tools: Strong knowledge of Selenium WebDriver, Appium, or Cypress for automation. Programming Languages: Hands-on experience with programming languages like Java, Python, or JavaScript. API Testing: Experience in API testing using tools like Postman, REST Assured, or similar tools. Test Automation Frameworks: Familiarity with test automation frameworks such as TestNG, JUnit, or Cucumber. CI/CD Tools: Working knowledge of CI/CD tools like Jenkins, GitHub Actions, or similar. Database Validation: Good understanding of SQL for database validation. Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Why Join Us: Innovative Work: You'll be part of a team responsible for developing and executing robust test automation solutions that enhance the software development lifecycle. Career Growth: Opportunities for career development and expanding your knowledge in test automation, CI/CD processes, and various automation tools. Collaborative Environment: Work alongside a skilled team of developers, product managers, and QA professionals in an agile development environment. Impactful Projects: Contribute directly to ensuring the quality of software that impacts millions of users globally. If you are passionate about automation testing, continuously improving software quality, and collaborating with a dynamic team, we d love to hear from you!

Job Title: Solution Engineer (Sales) Location: Ahmedabad, India Job Type: Full-time About the Role: As a Sales Solution Engineer for the Experro platform, you will be a key technical liaison between our Sales team and prospective customers. You ll leverage your in-depth product knowledge, industry expertise, and consultative approach to demonstrate how Experro s solutions can meet the unique business and technical requirements of enterprise clients. Partnering closely with Account Executives, you will lead product demonstrations, craft tailored solutions, guide prospects through proof-of-concept engagements, and play a central role in driving platform adoption and revenue growth. Key Responsibilities: Technical Pre-Sales Support: Collaborate with Sales Executives to understand customer needs, present tailored solutions, and deliver compelling product demonstrations that highlight the Experro platform s capabilities and value proposition. Solution Design & Architecture: Work closely with prospects to translate their business objectives and technical requirements into solution designs leveraging Experro s features, integrations, and APIs. Proof-of-Concept Management: Lead proof-of-concept and pilot projects by setting up environments, configuring integrations, and guiding customers through hands-on evaluation, ensuring a smooth and successful technical validation process. Technical Liaison: Communicate prospect feedback, technical challenges, and feature requests to Product Management, Engineering, and Support teams to influence product enhancements and address market needs. RFP/RFI Responses: Participate in the development and review of technical content for proposals, RFPs, and RFIs, ensuring accuracy, clarity, and compliance with customer requirements. Relationship Building: Establish trusted-advisor relationships with prospects technical teams and key decision-makers, positioning Experro as a strategic partner for their digital transformation initiatives. Knowledge Sharing & Enablement: Provide training, best practices, and technical guidance to internal Sales and Customer Success teams to ensure they are well-equipped to communicate Experro s value proposition effectively. Continuous Improvement: Stay current on industry trends, competitive products, and emerging technologies to maintain a strong technical presence and continually refine solution strategies. Qualifications: Education & Experience: Bachelor s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in a pre-sales, solutions engineering, or technical consulting role within the software or SaaS industry. Technical Expertise: Strong understanding of web technologies, APIs, data integrations, and cloud computing. Familiarity with e-commerce, digital experience platforms, or related enterprise software solutions is highly desirable. Communication & Presentation Skills: Exceptional ability to simplify complex technical concepts for non-technical stakeholders. Strong written, verbal, and presentation skills, with a proven track record of delivering compelling product demonstrations. Problem-Solving & Analytical Thinking: Adept at identifying customer challenges, proposing solutions, and articulating technical capabilities in a consultative manner. Comfortable with diving deep into technical details to resolve customer queries. Team Player: Experience working closely with cross-functional teams Sales, Product Management, Engineering, Customer Success to deliver an outstanding end-to-end customer journey. Adaptability & Drive: Self-motivated, highly organized, and able to thrive in a fast-paced environment. Demonstrated ability to handle multiple opportunities simultaneously while meeting deadlines and achieving objectives. Career Growth: Join a fast-growing company with opportunities for personal and professional development. Impact: Work on cutting-edge SaaS solutions impacting global enterprise clients. Dynamic Environment: Collaborate with talented teams and work in a highly innovative, fast-paced environment. Global Exposure: Work with international clients and gain exposure to a variety of industries and challenges. If you're an experienced Solution Engineer with a passion for technology, consultative sales, and SaaS solutions, we d love to have you join our Rapidops team to make a meaningful impact! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Experience: 5+ Years Job Location: Ahmedabad Requirements: Strong Microsoft Dynamics CRM product experience, ideally with CRM 2016 or 365. Have been involved in the delivery of at least five Microsoft Dynamics CRM projects. 2+ Years of custom development experience in Microsoft Dynamics CRM/365. 2+ Years of experience in .NET, C#, ASP.NET & JavaScript programming. Proven experience in consulting on software products, business analysis & requirements gathering. Proficiency in developing plug-in & workflow assemblies. Experienced in developing .NET web services & web API applications. Understanding of SQL Server 2016. Able to customize CRM forms, views, workflows, business rules, charts, & dashboards. Knowledge of CRM usage in Browsers, Outlook, Tablet & Mobile Applications. Knowledge of Power Automate and Azure is a plus but not mandatory. Hands-on experience with Team Foundation Server. Responsibilities and Duties: Implementing & extending Dynamics CRM software & inspiring its use within the business environment, advising on best practices to ensure its features are utilized to their fullest. Required Experience, Skills, and Qualifications: Tech Skills: Microsoft Dynamics CRM/365, C#, ASP.NET Qualifications: B.E. Computer/IT, BCA or MCA Qualification : B.E. Computer/IT, BCA or MCA

Job Title: Data Mining Executive Job Summary We are seeking a highly analytical Data Mining Executive to join our team. The ideal candidate will be responsible for gathering, analyzing, and extracting valuable insights from various datasets to support business decision-making. This role involves using advanced data mining techniques, conducting secondary research, and leveraging tools such as LinkedIn Sales Navigator to drive business opportunities. You will work closely with clients and internal teams to ensure accurate and actionable data is provided. Key Responsibilities Data Mining: Gather and analyze large datasets to extract meaningful insights and patterns to inform business strategies. Secondary Research: Conduct thorough secondary research to gather relevant data, industry trends, and competitor analysis to drive business decisions. Client Communication: Communicate effectively with clients to understand their data requirements and provide them with valuable insights and reports. Spreadsheet Management: Maintain and update spreadsheets to organize data, track project progress, and monitor deadlines. Outreach: Use LinkedIn Sales Navigator and other tools to support business outreach, gather client-specific data, and assist in client acquisition. Reporting and Analysis: Prepare detailed reports based on data mining and analysis to present findings to clients or senior management. Skills Required Data Mining: Experience in extracting and analyzing large sets of structured and unstructured data. Secondary Research: Strong research skills to gather relevant data from various sources. LinkedIn Sales Navigator: Proficiency in using LinkedIn Sales Navigator for client outreach and data collection. Spreadsheet Management: Expertise in managing and analyzing data using Excel or Google Sheets. Market Research: Ability to analyze market trends and competitor data to support business goals. Qualifications Any Graduate (Preferably in Business, Marketing, or related fields). Qualification : Any Graduate (Preferably in Computer Science or related field).

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

Job Title: Software Quality Assurance (QA) Engineer Position Overview: We are looking for a Software Quality Assurance (QA) Engineer to develop and execute exploratory and automated tests to ensure product quality. As a QA Engineer, you will design and implement tests, debug issues, and define corrective actions. You will review system requirements and track quality assurance metrics such as defect densities and open defect counts. Your role will be critical in the product development process to ensure the system meets the quality standards. Key Responsibilities Build test scripts, manage tests, lead testing processes, and document and report test results. Collaborate with subject matter experts to understand requirements and develop test cases and scenarios. Perform functional, system, integration, regression, API, and workflow testing. Clearly document, communicate, and organize discovered issues for developers to resolve, and follow up on those issues. Organize test plan/test case reviews and ensure coverage of all critical functionality. Coordinate User Acceptance Testing (UAT) for various releases and configurations. Certify system changes once they are released to production and verify their stability and performance. Test multiple projects simultaneously and ensure that the testing process is efficient and effective. Contribute to process improvement initiatives and suggest improvements for the overall quality assurance approach. Mentor junior resources and assist with their learning and professional growth. Qualifications Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in software development and testing. Experience in testing ERP systems. Excellent analytical, organizational, time management, and multi-tasking skills. Self-motivated with the ability to work both independently and as part of a team. Diligent and meticulous attention to detail in identifying issues and ensuring quality. Experience in testing IBM AS400 iSeries systems is a must. Desired Skills Experience with exploratory testing and automated testing tools. Strong ability to design test cases that ensure full coverage of system functionality. Experience in working with defect tracking tools like JIRA, Bugzilla, etc. Strong communication skills to document and report testing results clearly. Ability to work in a fast-paced environment and manage multiple testing projects concurrently. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field.

Job Title: Quality Assurance Engineer (Manual Testing) Position Overview: We are seeking a dedicated Quality Assurance Engineer to focus on manual testing of our client's software products. The primary responsibility will be to ensure that the software meets both development and business requirements, while also providing a user-friendly experience. The role involves conducting tests to validate new feature enhancements and performing regression testing for the overall application. The candidate should be comfortable making decisions independently and working effectively within a small, dynamic team where each contribution is valued. Primary Responsibilities Analyze requirements and acceptance criteria for new features and software enhancements. Configure the test environment to execute necessary test cases. Conduct review meetings to share test case statuses, discuss concerns and risk items, and ensure alignment with the team. Define, execute, and analyze test cases, collaborating with the team to validate acceptance criteria. Track defects and bugs using the client s defect tracking system, monitor resolution progress, and validate resolutions once completed. Effectively communicate with stakeholders, including QA Managers and Scrum Masters, both verbally and in writing. Work efficiently under pressure to meet deadlines and deliver quality results. Prioritize tasks and demonstrate flexibility in a fast-paced work environment. Manual Testing Deliverables Test plans and test cases. Comprehensive documentation and reporting of identified bugs. Test data for various test cases. Test scenarios and configurations. Required Experience Degree in Computer Software or related fields, or 5+ years of relevant work experience. 3+ years of experience in software testing, including functional and regression testing. Experience with Windows, iOS, and mobile apps testing. Experience with cross-browser testing and responsiveness testing. Familiarity with multiple operating systems such as Windows, OS X, iOS, and Android. Experience with software development lifecycle tools, such as Jira, DevOps Azure, and Zephyr (test case management). Experience in user acceptance testing and user experience testing. Experience with bug verification testing and tracking. Preferred Experience Knowledge of continuous integration (CI) and continuous delivery (CD) practices is a plus. Qualification : Degree in Computer Software or related fields

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Responsibilities Develop and maintain web applications using FastAPI, ensuring high performance and responsiveness to requests from the front-end. Design and implement database models and perform validation using Pydantic models. Work with SQLAlchemy for ORM tasks, managing both relational and non-relational databases. Perform asynchronous and synchronous database operations on MySQL, MongoDB, PostgreSQL, and TimescaleDB. Write and execute tests using pytest to ensure the reliability and quality of the codebase. Implement security features, including Google OAuth2, JWT, and API keys, to protect applications and user data. Manage and orchestrate background processes to handle various tasks and improve application efficiency. Utilize MQTT for messaging and communication between services. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve issues related to application performance, reliability, and security. Maintain code quality, organization, and automation. Requirements Bachelor s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. Proven experience with FastAPI (or Flask, with a willingness to learn FastAPI). Strong knowledge of Pydantic for request and database model validation. Extensive experience with SQLAlchemy and ORM. Proficient in performing async & sync database operations. Hands-on experience with MySQL, MongoDB, PostgreSQL, and TimescaleDB. Expertise in QA/testing with pytest. Strong understanding of security protocols including Google OAuth2, JWT, and API keys. Experience in managing background processes. Familiarity with MQTT for messaging. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Job Title: Data Scientist Experience: 4+ Years Educational Qualification: B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university Role Description We are seeking a skilled Data Scientist to join our team. The ideal candidate will identify valuable data sources, automate data collection processes, and analyze large datasets to uncover trends and patterns. This role involves building predictive models and machine-learning algorithms, collaborating with cross-functional teams, and proposing data-driven solutions to business challenges. Key Responsibilities Identify, collect, and automate data acquisition from valuable sources. Pre-process structured and unstructured data for analysis. Analyze large datasets to discover patterns and trends. Develop and implement predictive models and machine-learning algorithms. Combine multiple models using ensemble modeling techniques. Visualize data and present findings through dashboards and reports. Propose innovative solutions and strategies to address business challenges. Collaborate with engineering and product development teams for seamless integration of data solutions. Required Skills & Experience 4+ years of experience as a Data Scientist or Data Analyst with hands-on data mining experience. Proficiency in business intelligence tools (e.g., Power BI) and data frameworks (e.g., Hadoop). Experience querying databases and using statistical programming languages: Python, SQL, etc.; familiarity with Scala, Java, or C++ is a plus. Strong understanding of statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Tree-based models, and text mining. Expertise in advanced machine learning algorithms: regression, clustering, simulation, scenario analysis, decision trees, neural networks, etc. Solid foundation in machine learning, operations research, and advanced statistical methods. Strong analytical mindset with business acumen and problem-solving capabilities. Excellent project management and organizational skills. Nice-to-Have Skills Strong math skills (e.g., statistics, algebra). Experience working in dynamic, cross-functional environments with diverse teams. Ability to work with data and analytics experts to enhance the functionality of data systems. Qualification : B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university

About the Team: The Transactions Division at S&P Global Market Intelligence focuses on publishing data related to Mergers & Acquisitions (M&A) and Capital Markets. The team is responsible for collecting, validating, and analyzing corporate transaction data using various sources, such as search tools, press releases, company websites, stock exchange platforms, and regulatory filings. This data is curated and provided to clients in the form of a comprehensive, accurate, and timely product. The Impact: This role plays a crucial part in shaping the Transactions Dataset. As an analyst, you will be involved in collecting and validating data while working closely with peers and stakeholders on process improvements. This position offers an excellent opportunity to gain hands-on experience in the M&A, Private Offerings (PO), and Public Placements (PP) domains. You will deepen your understanding of financial reporting standards, corporate actions, and apply this knowledge in a practical setting. What s in it for You: You will be primarily responsible for the daily collection and validation of transactional data. As you develop a strong understanding of the dataset and become proficient in workflows, you will also have the opportunity to mentor new talent, helping them build their skill set. Additionally, you will be involved in process improvement initiatives, including LEAN and automation projects, that support various S&P Global Market Intelligence products. Key Responsibilities: Data Collection & Validation: Accurately extract, analyze, and input data into work tools according to specified guidelines. Ensure the integrity and quality of the collected data. Data Sources & Research: Utilize search tools, press releases, company websites, regulatory filings, and trade documents to extract and verify transaction data. Dataset Understanding: Develop a deep understanding of the dataset and workflows, becoming proficient in using the work tools and ensuring timely data delivery. Target Achievement: Meet individual and team targets while maintaining a focus on delivering high-quality, error-free results. Process Improvement & Innovation: Provide input for new data collection methods and suggest product enhancements related to the dataset. Project Management: Participate in projects as assigned, ensuring they are completed within the specified timelines while maintaining the required quality standards. Problem Resolution: Troubleshoot issues and provide support to the team to resolve any operational challenges. Basic Qualifications: Educational Background: MBA/BBA (preferably in finance), M.Com, or ACCA. Experience: Previous experience in financial research, data analytics, or quality assurance is preferred. Skills: Strong research and analytical skills. Proficiency in clear and effective communication. Basic knowledge of SQL and VBA is preferred. Ability to manage multiple tasks and priorities simultaneously. Strong teamwork and collaboration skills, with the ability to communicate effectively with global stakeholders. Willingness to work in rotational shifts (Morning, Evening, and Night). About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we provide accurate, deep, and insightful information that empowers our clients to make confident decisions. Our team of experts delivers cutting-edge data and technology solutions, helping organizations expand their perspective, operate with confidence, and make informed decisions. Qualification : MBA/BBA (preferably in finance), M.Com, or ACCA.