128 Data Testing Jobs - Page 3

Exp: 3+ Years JD: Primary Skills Data tester (functional testing) Automation experience preferably in Python/Pyspark Working knowledge of No-SQL preferably MongoDb (or json format) Working knowledge of AWS S3 Working knowledge of JIRA /confluence and defect management Understands Agile ways of working Years of experience : minimum 3 years Role & responsibilities Preferred candidate profile

Role & responsibilities Data tester (functional testing) Automation experience preferably in Python/Pyspark Working knowledge of No-SQL preferably MongoDb (or json format) Working knowledge of AWS S3 Working knowledge of JIRA /confluence and defect management Understands Agile ways of working Years of experience : minimum 3 years Preferred candidate profile

Lead test planning & execution Ensure SDLC & testing compliance Analyze requirements & estimate effort Liaise with stakeholders & teams Track defects & test progress Drive end-to-end testing delivery Required Candidate profile Strong in ETL, SQL, Control-M Proficient in Agile/Waterfall, JIRA, Confluence Exp in DW, Informatica, Azure DevOps Skilled in automation, stakeholder mgmt, comms Onsite-offshore coordination

Key Responsibilities Data Analyst (Testing & Validation): 1. Perform end-to-end testing of ETL processes including data extraction, transformation, and loading across different data sources. Conduct data validation and reconciliation to ensure accuracy, completeness, and integrity of data across systems. Write and execute complex SQL queries to validate data quality and perform data analysis. Collaborate with developers, data engineers, and business analysts to understand data requirements and test cases. Design, document, and maintain test plans, test cases, and test scripts for data pipelines and BI reports. Identify and report data issues or anomalies , track defects, and verify resolutions through retesting. Use tools like Informatica, Talend, SSIS, or similar for ETL testing (based on tech stack). Ensure compliance with data governance, privacy, and quality standards during testing.

Primary Skills Data tester (functional testing) Automation experience preferably in Python/Pyspark Working knowledge of No-SQL preferably MongoDb (or json format) Working knowledge of AWS S3 Working knowledge of JIRA /confluence and defect management Understands Agile ways of working Years of experience : minimum 3 years

Job Overview: Responsible for validating data pipelines, ensuring data integrity, and verifying the performance and functionality of solutions built on the Microsoft Fabric platform. This includes testing data ingestion, transformation, and reporting components, particularly within environments like the Delta Lakehouse. Key Responsibilities: Design and execute test plans and test cases for Microsoft Fabric-based data solutions. Validate data flows from source systems to the Microsoft Fabric Delta Lakehouse. Perform data quality checks, reconciliation, and validation of large datasets. Collaborate with data engineers, architects, and BI developers to ensure end-to-end data accuracy. Automate testing processes using tools like Azure Data Factory, Power BI, and Fabric-native tools. Identify, document, and track defects and inconsistencies. Ensure compliance with data governance and security standards. Required Skills: Strong experience in data testing, preferably in cloud-based environments. Familiarity with Microsoft Fabric components (e.g., Data Factory, Synapse, Power BI, Delta Lakehouse). Proficiency in SQL for data validation and transformation testing. Experience with test automation frameworks and scripting. Understanding of ETL/ELT processes and data modelling concepts. Excellent analytical and problem-solving skills.

Perform test automation analysis and identify feasible areas for automation Identify, document, and track software defects and issues using bug tracking tools (e.g., JIRA, Bugzilla). Work closely with development teams to prioritize and resolve defects, ensuring timely delivery of high-quality software. Own requirements of their features, perform effort estimation, plan testing, design, create & execute automation scripts using ConfirmIQ, Hexawise Experience in selenium for web testing, RestAssured for API or Appium for Mobile testing . For Data testing SQL is used knowledge of python is good to have Proficient in programming languages such as Java, Python. Experience with test automation tools (e.g., Selenium, TestNG, JUnit). Familiarity with performance testing tools (e.g., JMeter, LoadRunner). Knowledge of CI/CD tools and processes (e.g., Jenkins, GitLab CI). Good understanding of software development methodologies (e.g., Agile, Scrum). Mandatory Competencies QA Automation - QA Automation QA Automation - Selenium Database - SQL DevOps - Jenkins DevOps - Gitlab

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 - Tester QA Manual - Manual Testing Database - SQL Beh - Communication and collaboration

5-8 years of experience in Data Testing using SQL Knowledge of Python is a plus Domain expertise in Risk and Finance IT Mandatory Competencies ETL - Tester QA Manual - Manual Testing Beh - Communication and collaboration Database - SQL

Role & responsibilities : Senior Quality engineer to participate in requirements discussion, test planning, test scenarios, test cases and test data creation, and execution of testing Plan in adherence standards, processes and best practices. Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems and independently perform assigned tasks. Design and develop test automation scenarios to validate system to system interfaces and complete software solutions (for API, UI, performance, compatibility and security tests) Identify and implement complex automation efforts, including refactoring of automation code where needed Develop test scripts and perform automated and manual exploratory testing to ensure software meets business and security requirements and established practices. Generate test data for defined test cases, recognize test environment preparation needs, and execute existing test plans and report results Own responsibility for defect management and oversight and escalation of issues discovered during the testing phase Translate complex system requirements into test requirements and testing methods Write clean, high-quality scripts that test product functionality automatically. Ensure adoption of best quality testing practices for cloud native applications with principles of 12 factor applications. Understands automated test suites, front end GUI automation, service layer automation testing. Comprehends user stories to understand task items per story in the context of all levels of testing (unit, functional, integration, smoke and regression). This position will be responsible for driving best practices around Quality, Functional testing, Exploratory testing, and adoption of Development services (Development Collaboration, Continuous Integration and Delivery, etc.), acceptance test automation, quality gating reviews for promotion of software, and continuous integration. Collaborate with cross-functional teams (developers, product) to find ways on how automation can improve the workflow. Participate in scrum activities with dev team, discussions with Product/Business stakeholders Preferred candidate profile

ETL+ Python Testing Must have: 5+ years of Software testing experience with at least 2 years of experience in data testing Must have: Good understanding of Data warehouse concepts and testing Must have: Good understanding of data testing on Azure Must have: good understanding of writing SQL queries and must be able to do dashboard/report testing Must be be to design test scripts based on the requirement document and execute it Must have: Insurance experience preferable in London Insurance market Excellent communication skill Should be able to define test strategy, approach and plan

6-8 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 QA Automation - QA Automation Database - SQL

Key Responsibilities: Define and drive QE strategy aligned with Enterprise Risk platform architecture, engineering standards, and transformation roadmap Lead end-to-end QE delivery across manual, automation, and data validation workstreams including UI, API, ETL , and batch validation Establish and scale automation frameworks for: UI (Selenium, Cypress, Playwright) API (Rest Assured, Postman, Karate) ETL and backend jobs (Python, SQL-based validation frameworks) Collaborate with development, DevOp, Product teams to implement shift-left testing , test data management , and test coverage alignment Integrate QE into CI/CD pipelines using Jenkins/GitLab and enforce test gating, code quality checks, and coverage thresholds Implement non-functional testing strategies (performance, security, resiliency) using tools like JMeter, OWASP ZAP, and integrate into test automation cycles Evaluate and embed GenAI-driven QE capabilities , including test case generation, self-healing scripts, synthetic test data generation, test and coverage gap analysis etc. Support proposal, RFP, and stakeholder presentations by articulating QE capability maturity, roadmap, and measurable outcomes (KPIs, ROI, coverage) Lead a team of SDETs, QE engineers, and manual testers; foster a culture of quality, reusability, and automation-first Drive continuous improvement initiatives via test metrics, RCA, defect leakage trends, and QE process optimization Hands-on with tools: Selenium, Rest Assured, Playwright, Postman, JMeter, Python, SQL, Git, Jenkins, Docker, etc. Strong understanding of DevOps , CI/CD integration, test orchestration, and environment provisioning Experience working in BFSI/Wealth/Capital Markets domain; prior exposure to Enterprise Risk platforms, data governance , or regulatory workflows is a strong plus Exposure to AI/ML/GenAI tools in testing & QE

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=6 to 10 , jd= 1Overall 8 10 years of experience minimum 4 years of proven experience in Python based Robot Framework or Python based Selenium Automation 2The ideal candidate must have experience in the projects of Banking 3Defining effective test strategies functional automation including Web API and continuous testing 4Evangelizing and training QE processes value in an agile software environment elevating visibility of testing with the entire squad weighing in on test strategies 5Needs to handle technical communications Guide Product managers Developer and Partners 6Expertise on Selenium Web Driver and Test Automation frameworks on multiple application platforms with Experience in CI CD tools like Azure DevOps 7Experience in design implementation and maintenance of automation frameworks keyword driven data driven BDD CUCUMBER Robot Framework 8Expert in Python coding Expert in Rest SOAP web service automation 9Experience developing a successful automated testing strategy using multiple tools preferred 10Good communication and excellent troubleshooting skills good problemsolving techniques 11Develop implement Update automation architecture 12Identify project risks and to develop mitigation strategies Good to have Data testing In depth Banking Domain exp , Title=Python"“Selenium-SDET, ref=6566511

6-8 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 QA Automation - QA Automation Database - SQL.

Educational Bachelor of Engineering Service Line Infosys Quality Engineering Responsibilities As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : Experienced data testing profile with min 8 years withSQL, ETL, Data layer validations, Microservices (API), Python / Java automation.Good to haveMaster Data Management (MDM), Cloud (Azure/AWS/GCP) Data Testing.Experience in creating data testing strategy, frameworks, automation strategy, automation scriptsShould be open to learn new technology and should work independently as well as lead the team. Strong stakeholder communication skills and client interactions Preferred Skills: Technology-Data Services Testing-Data Warehouse Testing-ETL tool Technology-OpenSystem-Python - OpenSystem-Python

Educational Bachelor of Engineering Service Line Infosys Quality Engineering Responsibilities As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : Experienced data testing profile withSQL, ETL, Data layer validations, Microservices (API), Python / Java automation. Good to haveMaster Data Management (MDM), Cloud (Azure/AWS/GCP) Data Testing. Good communication and stakeholder management.Test automation (Graphical User Interface/ Service Oriented Architecture/ ETL) utilizing tools ( Selenium , Appium , Mocha, Test NG , CA Dev Test , Rest Assured , IDQ , DVO etc.Jenkins, TeamCity, GitLab" Preferred Skills: Technology-Automated Testing-Automated Testing - ALL-Cucumber Technology-Microservices-Microservices API Management Technology-Data Services Testing-Data Warehouse Testing-ETL tool Foundational-Configuration Management-Build Management-Jenkins Technology-OpenSystem-Python - OpenSystem-Python Technology-Mobile Testing-Mobile Functional Test Automation (iOS Android)-Appium

Data Tester Highlights: 5 plus years experience in data testing ETL TestingValidating the extraction, transformation, and loading (ETL) of data from various sources. Data ValidationEnsuring the accuracy, completeness, and integrity of data in databases and data warehouses. SQL ProficiencyWriting and executing SQL queries to fetch and analyze data. Data ModelingUnderstanding data models, data mappings, and architectural documentation. Test Case DesignCreating test cases, test data, and executing test plans. TroubleshootingIdentifying and resolving data-related issues. Dashboard TestingValidating dashboards for accuracy, functionality, and user experience. CollaborationWorking with developers and other stakeholders to ensure data quality and functionality. Primary Responsibilities Dashboard Testing Components: Functional TestingSimulating user interactions and clicks to ensure dashboards are functioning correctly. Performance TestingEvaluating dashboard responsiveness and load times. Data Quality TestingVerifying that the data displayed on dashboards is accurate, complete, and consistent. Usability TestingAssessing the ease of use and navigation of dashboards. Data Visualization TestingEnsuring charts, graphs, and other visualizations are accurate and present data effectively. Security TestingVerifying that dashboards are secure and protect sensitive data. Tools and Technologies: SQLUsed for querying and validating data. Hands on snowflake ETL ToolsTools like Talend, Informatica, or Azure Data Factory used for data extraction, transformation, and loading. Data Visualization ToolsTableau, Power BI, or other BI tools used for creating and testing dashboards. Testing FrameworksFrameworks like Selenium or JUnit used for automating testing tasks. Cloud PlatformsAWS platforms used for data storage and processing. Hands on Snowflake experience HealthCare Domain knowledge is plus point. Secondary Skills Automation framework, Life science domain experience. UI Testing, API Testing Any other ETL Tools

Skills Data Testing Genrocket Experience 6+Years Location Mumbai, Pune, Banglore Job type Contract to HIRE 4-5 years of hands-on experience on GenRocket Tool. Strong SQL knowledge with ability to write complex queries (example Left, right joins etc..) 3. Strong knowledge in SQL server, MSSQL, Microsoft Azure, ADF and synapse for nata base validation 4. Intermediate knowledge on ETL Transformations, workflows, STTM mappings (source to Target Data mappings) 5. Strong Knowledge on powershell scripting. 6. Ability to test Data validation and Data Transformation from source to Target 7. Data validation Validating Data sources, Extracting data, and applying transformation logic 8. Test planning & Execution Defining testing scope, Prepares test cases and test conditions, Test Data preparation 9. Coordinating test activities with Dev, BA & DBA and conduct defect triage for resolution of issues 10. Test quality Ensuring the quality of their work and the work of the development team 11. QA Test documentation Creating and maintaining documentation of test plans, test deliverables document such as QA Estimates, RTM (requirement traceability matrix, Peer reviews, QA sign-off documents. 12. Hands experience working on ADO/JIRA for test management, reporting defects and Dashboards creation. 13. Ability to Identify and report the risks and provide the mitigation plans. Coordinate with internal and external teams for completion of activities.

Project description We are more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. We are headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. ResponsibilitiesAs a Senior Quality Assurance Engineer, you will be responsible for ensuring the quality and reliability of complex data-driven systems, with a focus on financial services applications. You will work closely with Data Engineers, Business Analysts, and Developers across global teams to validate functionality, accuracy, and performance of software solutions, particularly around data migration from on-premises to cloud platforms. Key responsibilities include: Leading and executing end-to-end test plans, including functional, unit, regression, and back-to-back testing Designing test strategies for data migration projects, with a strong focus on Oracle to Cloud transitions Verifying data accuracy and transformation logic across multiple environments Writing Python-based automated test scripts and utilities for validation Participating in Agile ceremonies, collaborating closely with cross-functional teams Proactively identifying and documenting defects, inconsistencies, and process improvements Contributing to continuous testing and integration practices Ensuring traceability between requirements, test cases, and delivered code SkillsMust have Mandatory Skills Description The ideal candidate must demonstrate strong experience ( minimum 7 Years) and hands-on expertise in the following areas: Data Testing (Oracle to Cloud Migration)Deep understanding of testing strategies related to large-scale data movement and transformation validation between legacy on-premise systems and modern cloud platforms. Python ScriptingProficient in using Python for writing automated test scripts and tools to streamline testing processes. Regression TestingProven ability to develop and manage comprehensive regression test suites ensuring consistent software performance over releases. Back-to-Back TestingExperience in comparing results between old and new systems or components to validate data integrity post-migration. Functional TestingSkilled in verifying system behavior against functional requirements in a business-critical environment. Unit TestingCapable of writing and executing unit tests for small code components to ensure correctness at the foundational level. Nice to have While not required, the following skills would be a strong plus and would enhance your effectiveness in the role: Advanced Python DevelopmentExperience in building complex QA tools or contributing to CI/CD pipelines using Python. DBT (Data Build Tool)Familiarity with DBT for transformation testing and documentation in data engineering workflows. SnowflakeExposure to Snowflake cloud data warehouse and understanding of its testing and validation mechanisms. OtherLanguagesEnglishB1 Intermediate SenioritySenior

Responsibilities: Collaborate with cross-functional teams on MuleSoft integrations Ensure data accuracy through testing and validation processes Design, develop & maintain ETL solutions using Talend

Role & responsibilities Ensured that data loaded into target systems matched the source by performing thorough validation checks on structure, content, and volume. Created and ran test cases based on data mapping documents and transformation logic to verify ETL processes and business rules. Used SQL queries to check data quality, identify anomalies, and confirm correct data transformations across staging and production environments. Identified data issues, documented them clearly, and tracked them in defect management tools like JIRA, contributing to faster issue resolution. Worked closely with data engineers and analysts to understand data workflows and clarify business rules for accurate testing. Recorded test results, maintained test evidence, and supported audit and review processes through organized documentation. Preferred candidate profile Good working knowledge of SQL for querying and manipulating data, preferably on Oracle or DB2 databases. Basic familiarity with ETL tools like Informatica , Talend , or Pentaho . Fundamental understanding of Unix/Linux commands and simple Python scripting for data validation and automation tasks. Awareness of Finacle banking modules (such as CASA, Loans, Payments) and their related data concepts. Desired Skills: Experience with test data validation, reconciliation, and business rule implementation. Familiar with version control and ticketing systems (e.g., Git, JIRA).

Dear Candidate, Interested candidates : Please share your updated resume along with Photo, Pan card and PF member service history. Seasons Greetings! Role: ETL Test Engineer Work Nature - Contract To hire (3rd Party Payroll) Work Location Pan India Total Experience 4+ Yrs Immediate Joiners only Email: tuppari.pradeep@firstmeridianglobal.com Job Description: An ETL Tester is responsible for testing and validating the accuracy and completeness of data being extracted, transformed, and loaded (ETL) from various sources into the target systems. These target systems can be On Cloud or on Premise They work closely with ETL developers, Data engineers, data analysts, and other stakeholders to ensure the quality of data and the reliability of the ETL processes Understand Cloud architecture and design test strategies for data moving in and out of Cloud systems Roles and Responsibilities : 1) Strong in Data warehouse testing - ETL and BI 2) Strong Database Knowledge Oracle/ SQL Server/ Teradata / Snowflake 3) Strong SQL skills with experience in writing complex data validation SQL’s 4) Experience working in Agile environment Experience creating test strategy, release level test plan and test cases 5) Develop and Maintain test data for ETL testing 6) Design and Execute test cases for ETL processes and data integration 7) Good Knowledge of Rally, Jira and HP ALM 8) Experience in Automation testing and data validation using Python 9) Document test results and communicate with stakeholders on the status of ETL testing Interested candidates : Please share your updated resume along with Photo, Pan card and PF member service history to the mentioned email: tuppari.pradeep@firstmeridianglobal.com Element Details Full Name as Per Govt Proofs: Contact Number Alternate Contact Number Email ID Date Of Birth Fathers Name Total Experience Relevant Experience PAN Card Number Current CTC Expected CTC Current Work Location Preferred Location Open for Relocation (Yes/No)- Current Company Name Notice Period Mode of Employment (Contract/Permanent) If Contract, please provide payroll company: Do you know anyone who could be interested in this profile? Feel free to share this email with the person. You might make their day just by forwarding this email. Regards Pradeep tuppari.pradeep@firstmeridianglobal.com

We are seeking a skilled ETL Data Tester to join our dynamic team on a 6-month contract. The ideal candidate will focus on implementing ETL processes, creating comprehensive test suites using Python, and validating data quality through advanced SQL queries. The role involves collaborating with Data Scientists, Engineers, and Software teams to develop and monitor data tools, frameworks, and infrastructure changes. Proficiency in Hive QL, Spark QL, and Big Data concepts is essential. The candidate should also have experience in data testing tools like DBT, iCEDQ, and QuerySurge, along with expertise in Linux/Unix and messaging systems such as Kafka or RabbitMQ. Strong analytical and debugging skills are required, with a focus on continuous automation and integration of data from multiple sources. Location- Remote,Delhi NCR,Bengaluru, Chennai,Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Role & responsibilities Design and implement end-to-end data architecture, including data modeling, storage solutions, data pipelines, and security frameworks. Develop conceptual, logical, and physical data models to support analytical, transactional, and operational use cases. Lead the integration of structured and unstructured data from various sources into data lakes and data warehouses. Define and maintain data governance, security, data quality, and compliance standards (e.g., GDPR, HIPAA). Collaborate with cross-functional teams including data engineers, software developers, business analysts, and stakeholders to translate business needs into data solutions. Optimize data storage, retrieval, and processing workflows for performance and scalability. Evaluate and recommend new data management technologies, tools, and practices. Support real-time and batch processing solutions using modern big data and streaming technologies. Document data flows, data models, and architecture decisions.