164 Data Testing Jobs - Page 3

Test Planning:Design and implement detailed test plans and test cases for data applications. Test Execution:Perform functional, performance, and regression testing on various databases and data systems. Bug Tracking:Identify, document, and track defects and issues found during testing. Collaboration:Work closely with development and database administration teams to resolve issues. Automation:Develop and maintain automated scripts for database testing. Data Validation:Validate data sources, transformation logic, and data loading processes. Reporting:Generate comprehensive test reports to communicate findings to stakeholders. Compliance:Ensure testing processes comply with industry standards and best practices Primary Skills Strong understanding of SQL and database technologies, experience with testing tools like Selenium or QTP, and familiarity with data warehouse architecture

We are looking for candidates to fill two important roles related to Teamcenter Migration: Migration IC and Migration Testing. The ideal candidates should have a combination of technical and non-technical skills for these roles. **Responsibilities:** **Teamcenter Migration IC:** **Technical Skills:** - Proficiency in Teamcenter Implementation - Basic knowledge of ITK Customization and RAC Customization - Basic understanding of Teamcenter Configuration and intermediate knowledge of Teamcenter User - Familiarity with Data Migration, ETL Toolset, and Teamcenter Export/Import - Intermediate skills in C/C++ Development, Java, and SQL Scripting **Non-Technical Skills:** - Advanced teamwork abilities - Basic skills in mentoring and acting as a Module Lead - Proficiency in English **Teamcenter Migration Testing:** **Technical Skills:** - 3-4 years of hands-on experience in functional, regression, and system testing for Teamcenter PLM Implementation or Migration projects - Experience in Data Testing and Usability tests based on Migration Data Loads - Good understanding of Teamcenter Functionalities and usage - 2 years of hands-on experience in Active Workspace Testing - Ability to analyze customer requirements and translate them to test cases - Documenting Test Results and reporting Testing status - Understanding Defect Lifecycle management and severity/priority - Knowledge of the Data Migration Process - Supporting key users from customers during UAT and SRT - Excellent communication skills and maintaining contact with Test Managers - Experience with ALM test management tool would be beneficial - Knowledge of Agile framework If you have the required skills and experience for these roles, we encourage you to apply [here](https://mechispike.com/quickapplication/). To explore more PLM opportunities with MechiSpike Solutions, visit [here](https://mechispike.com/openings/). About Mechispike: MechiSpike is a PLM/CAx-only services company with a global presence in India, Germany, and the USA. We have a dedicated team delivering PLM projects in Teamcenter, Enovia & Windchill, among others. With zero attrition rate, we provide our employees with learning opportunities, earning potential, and clear career growth paths. To learn more about our employee benefits and work culture, click [here](https://mechispike.com/careers/). Check out MechiSpike reviews [here](https://maps.app.goo.gl/UFzmomThT7pSVZY5A) to see what people are saying about us. At MechiSpike Solutions, we undertake various projects in the PLM domain, including staffing, development, migration, upgrade, support, and implementation. We are proud partners with numerous global companies across India, Germany, and the USA.,

Greetings from Technogen !!! We thank you for taking time about your competencies and skills, while allowing us an opportunity to explain about us and our Technogen , we understand that your experience and expertise are relevant the current open with our clients. About Technogen : https://technogenindia.com/ Technogen India Pvt. Ltd. is a boutique Talent & IT Solutions company, founded in 2008, has been serving global customers for over last 2 decades,. Talent Solutions: We assist several GCCs, Global MNCs and IT majors on their critical and unique IT talent needs through our services around Recruitment Process Outsourcing (RPO), contract staffing, permanent hiring, Hire-Train-Deploy (HTD), Build-Operate-Transfer (BOT) and Offshore staffing. Please share below details for further processing of your profile. Total years of experience: Relevant years of experience: CTC (Including Variable): ECTC: Notice Period: Reason for change: Current location: Job Title : Data Tester || ETL Tester Experience : 3+ years Work Mode: WFO-4 Days from Office. Shift Time : UK Shift Time-12:00 PM IST to 09:00 PM IST. Location : Hyderabad. Job Summary:- What Were Looking For:- Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Minimum of 3 years of experience in data testing, ETL/ELT testing, or data quality roles. Hands-on experience with Google BigQuery or other cloud-based data platforms. Proficiency in writing complex SQL queries for data validation and testing. Strong understanding of data quality, integrity, and validation techniques. Experience handling large datasets and complex data structures. Familiarity with test automation tools such as Selenium or TestNG is a plus. Working knowledge of ETL/ELT pipeline development and cloud-native data architecture. Solid grasp of data warehousing concepts, methodologies, and data governance frameworks. Familiarity with scripting languages such as Python or Shell for data validation or automation tasks. Excellent communication skills—both written and verbal. Ability to thrive in a fast-paced, collaborative, and Agile environment. Experience with Agile methodologies (Scrum, Kanban) and managing IT backlogs. A proactive problem solver and a go-to expert for data quality and testing. What Your Impact Will Be:- Test and validate ETL/ELT processes to ensure data quality, completeness and accuracy. Perform data reconciliation and verification between source systems and GBQ (Data Lake) or other target systems. Execute manual and automated test cases based on ETL specifications and business requirements to validate data accuracy and integrity Identify, log, and track defects, working closely with the development team to resolve issues. Document test results and report defects, working closely with the development team to facilitate timely resolution Collaborate with data engineers and business analysts to understand requirements and business rules. Ensure data transformation rules are correctly applied. Perform data profiling and integrity checks to ensure compliance with business requirements. Support the creation of test strategies and plans for data-related projects. Verify the BigQuery best practices—including partitioning, clustering, and query optimization—to ensure high performance and scalability. As part of the Global Technology Organization, the Enterprise Data and Analytics (ED&A) Delivery Team enables to become a data-driven organization by building a centralized, shared services platform that supports all business units. The team is responsible for:- Integrating data from diverse enterprise systems including ERP, E-commerce, Order Management, CRM, and operational platforms into a centralized, cloud-based data warehouse. Building robust ETL/ELT pipelines to automate data ingestion, transformation, and delivery using modern tools and frameworks. Delivering curated, business-ready datasets to support self-service analytics and strategic decision-making. Enforcing enterprise-wide data quality, testing, and governance standards. Leveraging orchestration tools such as Airflow/Cloud Composer for reliable pipeline scheduling and execution. Collaborating with data analysts, product owners, and BI developers to align data solutions with business needs. Best Regards, Syam.M | Sr.IT Recruiter syambabu.m@technogenindia.com www.technogenindia.com | Follow us on LinkedIn

Roles and Responsibilities : Design, develop, and execute comprehensive ETL tests to ensure data integrity and quality. Collaborate with cross-functional teams to identify requirements and create test plans for DWH (Data Warehouse) testing. Develop automated scripts using Informatica PowerCenter to streamline the ETL process. Analyze results, identify defects, and provide recommendations for improvement. Job Requirements : 5-9 years of experience in ETL testing with expertise in Bi Testing, Data Testing, DWH Testing, and Informatica Testing. Strong understanding of SQL queries and ability to write complex queries for data validation. Experience with automation tools such as Automic or similar technologies is an added advantage.

You should have 3-4 years of experience in Data Integration and Data transformation implementation, including Business Requirement gathering, Design, Configurations, Data integration with ETL Tool, Data testing and validation, and Report development. Good documentation skills and Data modelling experience are required. You will be the Point of contact between the client and the technology development team. You should hold a qualification of BE/B-TECH OR Masters. Strong BI Functional and Technical knowledge, Data modelling, Data Architect, ETL and Reporting development, administration, performance tuning experience, and database and Data warehousing knowledge are essential skills. Hands-on Experience on at least 1-2 end-to-end ETL implementation projects is necessary. A strong knowledge and experience of EDW concepts and methodology is expected. Experience in Client interaction and requirement gathering from clients is crucial. Knowledge in ETL tool and multiple reporting/data visualization tools is an added advantage. Your responsibilities will include Source system analysis, Data analysis and profiling, Creation of technical specifications, Implementing process design and target data models, Developing, testing, debugging, and documenting ETL and data integration processes, Supporting existing applications and ETL processes, Providing solutions to resolve departmental pain points, Addressing performance or data quality issues, and creating and maintaining data integration processes for the Collections Analytics Program. As part of the Responsibility Framework, you are expected to Communicate with Impact & Empathy, Develop Self & Others through Coaching, Build & Sustain Relationships, Be Passionate about Client Service, Be Curious: Learn, Share & Innovate, and Be Open-Minded, Practical & Agile with Change. This ETL role is at the Mid to Senior Level in the IT industry with 3-4 years of work experience required. The Annual CTC is Open, with 3 vacancies available and a Short Notice period. The contact person for this job is TAG.,

About your role Expert engineer is a seasoned technology expert who is highly skilled in programming, engineering and problem-solving skills. They can deliver value to business faster and with superlative quality. Their code and designs meet business, technical, non-functional and operational requirements most of the times without defects and incidents. So, if relentless focus and drive towards technical and engineering excellence along with adding value to business excites you, this is absolutely a role for you. If doing technical discussions and whiteboarding with peers excites you and doing pair programming and code reviews adds fuel to your tank, come we are looking for you. Understand system requirements, analyse, design, develop and test the application systems following the defined standards. The candidate is expected to display professional ethics in his/her approach to work and exhibit a high-level ownership within a demanding working environment. About you Essential Skills You have excellent software designing, programming, engineering, and problem-solving skills. Strong experience working on Data Ingestion, Transformation and Distribution using AWS or Snowflake Exposure to SnowSQL, Snowpipe, Role based access controls, ETL ELT tools like Nifi, Matallion DBT Hands on working knowledge around EC2, Lambda, ECS/EKS, DynamoDB, VPCs Familiar with building data pipelines that leverage the full power and best practices of Snowflake as well as how to integrate common technologies that work with Snowflake (code CICD, monitoring, orchestration, data quality, monitoring) Experience with designing, implementing, and overseeing the integration of data systems and ETL processes through Snaplogic Designing Data Ingestion and Orchestration Pipelines using AWS, Control M Establish strategies for data extraction, ingestion, transformation, automation, and consumption. Experience in Data Lake Concepts with Structured, Semi-Structured and Unstructured Data Experience in creating CI/CD Process for Snowflake Experience in strategies for Data Testing, Data Quality, Code Quality, Code Coverage Ability, willingness & openness to experiment evaluate adopt new technologies. Passion for technology, problem solving and team working. Go getter, ability to navigate across roles, functions, business units to collaborate, drive agreements and changes from drawing board to live systems. Lifelong learner who can bring the contemporary practices, technologies, ways of working to the organization. Effective collaborator adept at using all effective modes of communication and collaboration tools. Experience delivering on data related Non-Functional Requirements like- Hands-on experience dealing with large volumes of historical data across markets/geographies. Manipulating, processing, and extracting value from large, disconnected datasets. Building water-tight data quality gateson investment management data Generic handling of standard business scenarios in case of missing data, holidays, out of tolerance errorsetc. Experience and Qualification: B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University Total 7 to 10 years of relevant experience Personal Characteristics Good interpersonal and communication skills. Strong team player Ability to work at a strategic and tactical level. Ability to convey strong messages in a polite but firm manner. Self-motivation is essential, should demonstrate commitment to high quality design and development. Ability to develop & maintain working relationships with several stakeholders. Flexibility and an open attitude to change. Problem solving skills with the ability to think laterally, and to think with a medium term and long-term perspective. Ability to learn and quickly get familiar with a complex business and technology environment.

QA Automation 1. Strong/Expert in QA Automation Testing. 2. Experience in Selenium. 3. Experience in Python. 4. Good in back-end data testing. 5. Good in SQL Server.

Joining KPMG means joining a talented team of exceptional colleagues who bring innovative thoughts and a natural curiosity to the work they do each day. No one type of person succeeds at KPMG; a diverse business requires diverse personalities, characters, and perspectives. There really is a place for you here. We are seeking an experienced and highly skilled resource having 0 to 5 years of IT experience with expertise in QA specialist/Functional Tester who will play a crucial role in driving the process efficiency and innovation and solutions and should also have below technical skills: Knowledge of testing methods and processes, experience in functional and data testing Hands-on experience in Functional testing System/Integration & UAT Experience in Functional Testing/Integration Testing/Regression Testing/System Testing/ E2E Testing and Acceptance Testing Should have expertise in preparing detailed Test Cases, writing Test Scripts by decomposing Business Requirements, Test Scenarios, and Test execution. Good knowledge of STLC, Black box test techniques & methodologies. Experience with defect management applications like HP ALM, Jira, etc. IT experience across the various facets of the SDLC process with a specific focus on QA, test strategy, and execution. Hands-on experience with a variety of testing tools, Manual functional testing with agile and scrum methodology. High awareness of software quality, strong analytical and conceptual skills, Communicating clearly and effectively. You have excellent communication skills, with the ability to influence senior management and stakeholders, and to build and maintain strong team and client relationships. You have excellent skills in acquiring and analyzing test data. Assessing problems from multiple angles to ensure all relevant issues are considered when making decisions. Must be flexible to work on any project requirements and work timings. Communicate and interact with appropriate areas on problems, changes, and enhancements that may impact data, workflow, and/or functionality. Excellent communication and reporting skills to executive management on testing activities and issues. Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment. The Consulting business at KPMG Global Services (KGS) is a diverse team of more than 6400 professionals. We work with KPMG Firms worldwide to transform the businesses of clients across industries through the latest technology and innovation. Our technology professionals combine deep industry knowledge with strong technical experience to navigate through complex challenges and deliver real value for our clients. At KGS, your long-term future is every bit as important to us as it is to you. That's why our aim is to give you experiences that will stay with you for a lifetime. Whether it's great training and development, mobility opportunities, or corporate responsibility volunteering activities - you'll gain a wealth of experiences on which to build a rewarding career. We're a firm that encourages you to be yourself, values your contribution, and inspires you to act as a role model, always focused on doing the right thing for each other, our clients, and our communities. Through your work, you'll build a global network and unlock opportunities that you may not have thought possible with access to great support, vast resources, and an inclusive, supportive environment to help you reach your full potential. Come as you are at KGS! As a firm, we are deeply committed to diversity, inclusion, and equity at our workplace. We offer a safe and inclusive environment built on trust, where all our colleagues can bring their authentic selves to work and know that their uniqueness is valued.,

Data Tester Job Description: We are looking for a skilled Data Tester to validate data accuracy and integrity across data warehouses, data integrations, and the curated business-ready layer. Key Responsibilities: • Test the data warehouse and ensure accurate data integration across various data sources. • Validate the Business-Ready dataset (BRD) , ensuring data is curated correctly for business use. • Develop and execute test cases to ensure data consistency and integrity in ETL/ELT processes. • Test data models and verify that data flows seamlessly through the data warehouse to the analytical layer. • Perform end-to-end testing for data integrations, ensuring compliance with business rules and transformation logic. • Collaborate with data engineers and business analysts to define testing strategies and resolve defects. • Conduct performance testing to ensure the scalability and efficiency of data pipelines. • Automate data validation and regression tests using relevant tools and frameworks. • Document and report test results, ensuring transparency and accountability. Required Skills: • Strong experience in data warehouse testing , validating ETL/ELT pipelines and data models. • Hands-on experience with testing tools and frameworks for data quality and integration. • Knowledge of SQL for querying and validating data in GBQ or other cloud-based platforms. • Strong attention to detail and analytical skills for identifying and resolving data issues. • Excellent collaboration skills to work with data engineers, analysts, and business teams. Preferred Skills: • Familiarity with Airflow for pipeline orchestration and Python for automating test cases. • Experience with metadata management and data governance processes. • Any other automation tools

AQM Technologies Pvt. Ltd., established in 2000, is dedicated to providing an exceptional testing experience for all stakeholders. With over 1500 professionals, 75% of whom are ISTQB/ASTQB certified, AQM excels in various testing domains such as Quality Engineering, User Acceptance Testing, Test Automation, and more. AQM stands out in Digital Testing, with more than 40% of its workforce trained in this area. The company's commitment to client relationships is reflected in their 95% retention rate. AQM is recognized globally and certified as a "Great Place to Work" by the Great Place To Work Institute. This is a full-time, on-site role located in Mumbai for a Lead / STE / TE at AQM Technologies. In this role, you will be responsible for performing manual testing of web and mobile applications. You will create, execute, upload, and maintain test cases and test scenarios on JIRA. It will be your duty to identify, track, and report defects using JIRA or similar bug-tracking tools. Additionally, you will ensure compliance with banking & financial regulations for secure transactions and collaborate with developers, business analysts, and product teams in an Agile environment. The ideal candidate for this position should possess skills in Test Automation, Load & Performance Testing, as well as proficiency in Security Testing and Cyber Security Audit. Experience with User Acceptance Testing, Mobile Application Testing, Quality Engineering, and Data Testing will be advantageous. Strong analytical and problem-solving abilities are essential, along with excellent communication and leadership skills. Previous experience in a similar role is a plus, and a Bachelor's degree in computer science, Engineering, or a related field is required. Key Required Skills: - Manual Testing: Functional, UI, Regression, and End-to-End testing - Bug Tracking & Test Management: JIRA or similar tools - Understanding of APIs (No hands-on API testing required) - Candidate with 2+ years of experience in Web application, mobile testing, API, DB, test design and test execution, defect life cycle, testing life cycle, Functional testing, defect tool, etc. - Tool experience: Should have experience in JIRA for test design and test execution status - Figma: Basic knowledge in Figma design for web and mobile journeys Join AQM Technologies in this exciting opportunity to contribute to their exceptional testing services and be a part of a globally recognized and certified "Great Place to Work.",

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies Database - PostgreSQL - PostgreSQL Database - Sql Server - SQL Packages ETL - ETL - Tester QA/QE - QA Automation - ETL Testing Beh - Communication

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. ________________________________________ Required Skills & Experience: Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience : 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies QA/QE - QA Automation - ETL Testing ETL - ETL - Tester Beh - Communication and collaboration Database - Sql Server - SQL Packages Database - PostgreSQL - PostgreSQL

5-8 years of experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT

Key Responsibilities: Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions. SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources. ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems. Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues. Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance. Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios. Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution. Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders. Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met. Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools. Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams. Required Skills & Experience: Experience: 8-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles. SQL Expertise: o Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis. o Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery). o Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types. Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy). Domain Expertise: o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting). o Knowledge of financial products, regulations, and risk management concepts. Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions. Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams. Mandatory Competencies ETL - ETL - Tester QA/QE - QA Automation - ETL Testing Database - PostgreSQL - PostgreSQL Beh - Communication Database - Sql Server - SQL Packages

5-8 years of experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT Availability to provide overlap with EST hours (until noon EST) Mandatory Competencies ETL - ETL - Tester Beh - Communication QA/QE - QA Manual - Test Case Creation, Execution, Planning, Reporting with risks/dependencies

5-8 years of experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT Availability to provide overlap with EST hours (until noon EST) Mandatory Competencies ETL - ETL - Tester Beh - Communication QA/QE - QA Manual - Test Case Creation, Execution, Planning, Reporting with risks/dependencies

You will be joining KPMG in India, a professional services firm affiliated with KPMG International Limited since its establishment in August 1993. Leveraging a global network of firms, we provide services to national and international clients across various sectors with offices in multiple cities across India. As part of the Financial Crimes specialist team, your role will involve providing solutions to BFSI clients through model validation testing for AML risk models and frameworks, sanctions screening, and transaction monitoring systems. We are seeking individuals with advanced data science and analytics skills to support our team in addressing the challenges associated with financial crime. Your responsibilities will include but are not limited to supporting functional SME teams in building data-driven Financial Crimes solutions, conducting statistical testing of screening matching algorithms and risk rating models, validating data models of AML systems, and developing AML models to detect suspicious activities and transactions. You will collaborate with cross-functional teams to analyze data for model development and validation, prepare detailed documentation and reports, and assist in feature engineering for automation of AML-related investigations. To qualify for this role, you should have a Bachelor's degree from an accredited university, at least 3 years of hands-on experience in Python with knowledge of frameworks like Java, Fast, Django, Tornado, or Flask, experience with Relational and NoSQL databases, proficiency in BI tools such as Power BI and Tableau, and an educational background in Data Science and Statistics. Additionally, expertise in machine learning algorithms, statistical analysis, and familiarity with regulatory guidelines for AML compliance are essential. Preferred qualifications include experience in AML model validation, statistical testing of risk models, and familiarity with AML technology platforms. Hands-on experience with data analytics tools like Informatica and Kafka is also desirable. If you are looking to contribute your advanced analytics skills to combat financial crime and support leading financial institutions in adhering to industry best practices, this role offers you the opportunity to work on challenging projects and develop professionally in a dynamic environment.,

As the Lead Quality Assurance Specialist at FM, you will provide consultation at a high technical level to multiple project teams and application support groups. Your role involves analyzing, designing, and executing effective Quality Assurance procedures and defect prevention/detection processes for corporate and client area information systems across various computing environments. You will contribute directly to these activities on large and complex projects and determine the quality of multiple product releases by ensuring they meet user requirements. Your responsibilities will include identifying and testing detailed business design requirements, developing test plans, creating and maintaining specific test cases for various testing types, participating in code reviews, performing manual and automated functional testing, tracking defects, validating functionality across system releases, and developing automated test scripts. You will also ensure compliance with test plans and procedures, track project artifacts, champion the development of QA practices, perform load, stress, performance, and reliability testing, and implement automated testing tools. To be successful in this role, you should have 5 to 7 years of relevant experience in systems quality environment. You must possess knowledge of technical computing environments, test case management tools, test case generation techniques, problem tracking/reporting systems, and current business processes in multiple functional business areas. Additionally, you should have proven abilities in analyzing business requirements, developing test plans, performing various types of testing, and utilizing automated testing tools. Your technical skills should include proficiency in SQL, Python, C#, and JavaScript, experience with modern testing tools and frameworks, strong skills in SQL and advanced data analysis techniques, expertise in creating and executing comprehensive test strategies and plans, and hands-on experience in data testing methodologies. Excellent analytical ability, communication skills, judgment, and the ability to work effectively with business personnel and IS management are also essential for this role. The ideal candidate will have a BS or equivalent in Computer Science or a related discipline, along with specific advanced education in software quality assurance. The work location for this position is Bengaluru.,

Design and execute test cases for various application functionalities. Perform functional, regression, and integration testing. Identify, document, and track functional defects. Collaborate with developers to resolve functional issues. Participate in code reviews and provide feedback on testability. Develop and maintain automated functional test scripts. Database Tester: Design and execute test plans and test cases for database functionality, performance, and security. Perform data validation, integrity checks, and data consistency testing. Write and execute SQL queries to verify data accuracy and completeness. Identify, document, and track database-related defects. Collaborate with database administrators and developers to resolve database issues. Develop and maintain automated database test scripts. Monitor database performance and identify potential bottlenecks. General: Contribute to the continuous improvement of testing processes and methodologies. Stay up-to-date with the latest testing technologies and trends. Communicate effectively with team members and stakeholders. Note* Experience of handling\/Testing trading application would be and advantage. Experience of Treasury and Trading Domain.

Outbound calls for lead generation Present projects to potential clients Schedule coordinate site visits Update CRM follow up with leads

Job Title:Data TestersExperience5-8 YearsLocation:CHN/BGL/HYD/Pune, Remote : Expectations Provenexperienceworkingonlargeprojectsinthefinancialservicesorinvestmentmanagementdomain,preferablywithAladdinorsimilarportfoliomanagementsystems. Deepunderstandingofinvestmentmanagementworkflows,includingportfoliomanagement,trading,compliance,andriskmanagement. ExperienceintestingdatavalidationscenariosandDataingestion,pipelines,andtransformationprocesses(e.g.,ETL) ExperienceworkingonSnowflake ProficiencywithAPITestingusingCodecept/Postman&SOAPUI Experienceindatabaseskills(SQLQueries)fordatamigrationtestingandtestdatacreation. Strong knowledge in python packages. ExperienceworkinginAgileEnvironmentandimplementingCI/CDpipelineusingBamboo/GITLabs. ProficiencyonVersionControlSystemslikeBitbucket/SVNisrequired. WorkingandbuildingDataComparison(XML,JSON,Excel,Database)utilitieswouldbeadvantageous. ExposuretoAWS/Azureenvironment(s) Desirable Skills: Deepunderstandingofinvestmentmanagementworkflows,includingportfoliomanagement,trading,compliance,andriskmanagement. Knowledgeofautomationtoolsfordeploymentandconfigurationmanagement. ExperienceworkingoniCEDQ. CertificationssuchasAWS,ISTQB,PMP,orScrumMasterareadvantageous.

Key Responsibilities: Design, develop, and execute test cases to validate data ingestion from source systems (SQL, APIs) to Databricks UAP platform. Perform schema validation, data completeness, transformation, and row-level data checks between source and target. Utilize SQL extensively for data profiling and validation. Leverage PySpark and Pandas for large-scale data comparison and automation. Maintain and enhance the Data Test Automation Framework using Python/PySpark for efficient and scalable data testing. Participate in daily stand-ups, sprint planning, and retrospectives following Agile practices. Manage and track test progress, issues, and risks in JIRA. Ensure adherence to QA documentation practices: Test Plan Test Scenarios & Test Cases Test Summary Reports Defect Reports Own and drive the Defect Life Cycle, working closely with developers and product teams to ensure timely resolution. Collaborate with business analysts and developers to understand data requirements and ensure high test coverage. Required Skills: 4+ years of experience in QA/testing with a strong focus on data validation. Strong proficiency in SQL (Joins, Subqueries, Aggregations, Data Profiling) Experience in testing data pipelines ingesting from SQL and APIs to Databricks. Hands-on with Python and Pandas for data manipulation. Working knowledge of PySpark and familiarity with Spark DataFrames, transformations, and data handling. Knowledge of Agile testing processes and QA best practices. Familiar with QA documentation and reporting standards. Experience with JIRA for test and defect management. Good understanding of Defect Life Cycle and its role in maintaining software quality.

Experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT Availability to provide overlap with EST hours (until noon EST) Mandatory Competencies ETL - ETL - Tester Beh - Communication and collaboration QA/QE - QA Manual - Test Case Creation, Execution, Planning, Reporting with risks/dependencies Data Science and Machine Learning - Data Science and Machine Learning - Python.