100 Data Testing Jobs - Page 3

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.

We are looking for a highly experienced Data Platform Test Lead to lead the quality assurance efforts across our data engineering and analytics platforms The ideal candidate will have strong technical expertise in data testing, a deep understanding of data platforms, and hands-on experience with both manual and automated testing approaches As a Test Lead, you will be responsible for defining the test strategy, leading QA activities, and ensuring the reliability, accuracy, and performance of data pipelines, data lakes, and analytics systems, Key Responsibilities Lead end-to-end testing initiatives for data platform components including ETL processes, data pipelines, data lakes, and data warehouses, Define and implement test strategy, plans, and test cases for data validation, transformation logic, and platform performance, Collaborate with data engineers, architects, analysts, and business stakeholders to understand data requirements and ensure testing coverage, Design and execute tests to validate data quality, integrity, completeness, consistency, and reconciliation across multiple sources, Set up and maintain automated data testing frameworks and tools, Identify, document, and track defects and ensure timely resolution, Monitor test metrics and provide reporting on test execution progress and quality status, Support the continuous integration and deployment processes with test automation for data pipelines while driving adoption of data testing standards and contribute to data governance initiatives, Requirements Experience: 10+ years of experience in QA/testing with at least 3 years in data-focused testing roles, Proven experience testing large-scale data platforms, Experience in test automation and testing tools, Familiarity with big data technologies such as Hadoop, Spark, Kafka, etc and knowledge of ETL tools, data warehousing, and data lake solutions, Data Recon and DWH aggregation and data marts testing, Skills Strong analytical and debugging skills, Experience with automation frameworks and CI/CD pipelines, Familiarity with tools like Jenkins, Git, Airflow, or similar, Excellent communication skills to coordinate with cross-functional teams, Strong leadership, organizational, and time management abilities, Preferred Qualifications Experience in open-source tech stack for testing data flows, QA Certifications

Role & responsibilities Preparation and Review of BMR/BPR/MFR Preparation and Review of Spec/STP/COA and data related to quality control. Communication with third party manufacturer for documentation related to production, quality assurance, quality control and goods Manage vendor documentation Preparation and Approval of Standard operating Procedures (SOPs). Reviewing & checking the raw material, packing materials and finished goods as per the pre-specified criteria. Responsible for review of investigation for quality deviations are conducted, approval of specifications and quality related documents. Responsible for ensuring timely party Audits, approval of Quality Related Change Controls, approval of vendor complaints. Visiting the supporting manufacturing facilities and ensuring the proper manufacturing.

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 planning for Automation Testing drive for With Grade: B2, C1 and C2 (4-10 Yrs) Please share your updated resumes on all 3 Positions i.e API automation PT(Performance Testing) Data / ETL testing Job Location Chennai/ Bangalore/ Hyderabad/Pune

Responsibilities: * Conduct UAT sessions with stakeholders * Collaborate on unit testing efforts * Ensure software quality through testing processes * Execute API, database & data tests * Debug issues found during testing

As a Staff Quality Engineer at Fanatics, you will specialize in building automated testing including test suites, reporting capabilities and continuous integration to ensure the accuracy and consistency of the systems driving our inventory lifecycle, planning and product performance. Youll be part of a multi-disciplinary Quality Engineering team while also working with our data engineers to ensure we have tools and processes that warrant the correctness of the functionality and data and quickly identify any problems. The teams within our inventory organization own the source of truth for all inventory position related info, develop the systems that handle the inventory lifecycle of our products and the integrations that keep our partners updated with an accurate picture of what we can sell to our fans and what they demand the most. Our teams also work on models to drive efficiency of our inventory management. Multiple teams across Fanatics Commerce, including Fulfillment, Merchandising and Planning, Finance, Business Intelligence and Analytics rely on these datasets and several KPIs dashboards used by our Senior Leadership aid data-driven business decisions. The team takes pride in ensuring that these datasets and the processes that generate the data are accurate, reliable and available on time by building and operating near real-time & batch data pipelines, exploring emerging technologies in this area, and helping other teams consume and realize the value of the data. If you are an experienced Quality Engineer with a passion for delivering quality products and are curious and eager to keep learning and discovering new tools to improve the efficiency of our quality cycle this opportunity is for you. Responsibilities: Nurture a culture of quality through collaboration with teammates across the engineering function to make sure quality is embedded in both processes and technology. Develop quality focused test strategies that help the team deliver software that provides maximum quality without sacrificing business value. Define quality metrics and build quality monitoring solutions and dashboards. Mentor/coach team members to ensure appropriate testing coverage within the team with a focus on continuous testing and a shift-left approach. Contribute to process improvements and refinement of Quality Engineering practices across the QE function. Recommend best test practices and evangelize a testing early culture to empower the team to make sound engineering decisions. Work with multiple teams of engineers and product managers to gather requirements and data sources to design and build test plans. Participate in projects developed with agile methodology. Design and document test cases and test data to ensure proper coverage. Perform exploratory/manual tests as needed to ensure quality of the data across all data platform components. Collaborates with data partners to triage issues and works to ensure the validity, timeliness, consistency, completeness and accuracy of our data across all data platform components. Write, execute, and monitor automated test suites for integration and regression testing. Integrate tests as part of continuous delivery pipelines. Research new tools that can improve our quality process and implement them. A suitable candidate would have: Minimum 8 years of testing experience certifying the quality of with applications developed in languages like Python, Golang, Java, C#. Experience in a programming language like Python, Java, Golang, Node,js using it for automation and data validation. Must understand databases and ORMs, experienced with at least one RDBMS and DB Query language. Ability to define technical standards and guidelines for test framework development. Experience on modern Quality Engineering principles such as Continuous Testing and Shift Left. Clear understanding of different testing principles like data driven testing, behavior driven development, etc. Solid experience in writing clear, concise, and comprehensive test plans and test cases. Experience in building automated test suites for API's REST and gRPC with focus on data validation. Extensive experience with OpenAPI Specifications and tools like Swagger for designing, documenting, and validating APIs. Proficiency in using schema validation tools for ensuring compliance with API contracts. Strong understanding of RESTful principles, HTTP protocols, and JSON schema validation. Proficiency in managing test data and mocking/stubbing for complex test scenarios. Experience testing applications using producer/consumer models and event streaming like Kafka, RabbitMQ, Pulsar is a plus. Proficiency in testing tools such as Postman, K6 and JMeter for API performance and functional testing. Hands-on experience with test automation tools like Playwright, Selenium, and other modern test frameworks. Good understanding of service oriented and microservices architecture. Experience with cloud environments like AWS, GCP, source control tools like Github and continuous integration and delivery software, preferably, Gitlab. Experience with AWS services like S3, SQS, RDS, Elasticache, EMR Proven track record of mentoring team members on automation best practices, framework design, and testing methodologies Ability to lead technical discussions and drive decisions on test automation strategies and implementation. Strong debugging, root cause analysis, and problem-solving skills. Ability to troubleshoot issues in distributed systems, APIs, and automation tools. Great communication skills Experience on inventory management and fulfillment processes and workflow orchestration tools like Maestro, Temporal, etc. are a plus.

Responsibilities: Perform manual testing of web and mobile applications to ensure quality and performance. Conduct various types of testing such as Functional, Usability, Integration, and GUI testing. Design, develop, and execute comprehensive test cases and test scenarios based on product requirements. Validate data accuracy and consistency through extensive MySQL queries and checks. Work with large datasets and perform data validation using MS Excel .Collaborate with developers, product managers, and other QA team members to ensure timely delivery of high-quality features. Understand and follow the complete software testing lifecycle, including test planning, test execution, defect tracking, and reporting. Utilize tools like JIRA and Confluence for test management and documentation. Contribute to automation testing efforts using Python , including scripting and executing automated test cases. Participate in team discussions to improve product quality and testing processes. Maintain clear and effective communication across technical and non-technical teams. Requirements: Minimum 2 years of experience in Data Testing and Manual Testing . Strong knowledge of Manual Testing methodologies, techniques, and best practices. Hands-on experience with MySQL and writing complex queries. Proficiency in MS Excel for data validation and analysis. Good understanding of testing documentation like test plans, test cases, and test scenarios. Experience working with JIRA and Confluence is a plus. Ability to work independently and in a team-oriented, collaborative environment. Working knowledge of Python and experience in developing automation test scripts .

About the Opportunity Job TypeApplication 23 June 2025 Title Expert Engineer Department GPS Technology Location Gurugram, India Reports To Project Manager Level Grade 4 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our [insert name of team/ business area] team and feel like your part of something bigger. About your team The Technology function provides IT services to the Fidelity International business, globally. These include the development and support of business applications that underpin our revenue, operational, compliance, finance, legal, customer service and marketing functions. The broader technology organisation incorporates Infrastructure services that the firm relies on to operate on a day-to-day basis including data centre, networks, proximity services, security, voice, incident management and remediation. 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 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. Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.