128 Data Testing Jobs - Page 5

2-5 Yrs in Exp Big Data testing, focusing on both automated and manual testing. Strong understanding of Hadoop. Proficient in SQL, Unix, Linux with hands-on experience. also Exp in ETL .

Role & responsibilities Preferred candidate profile

Overview Annalect is seeking a hands-on Data QA Manager to lead and elevate data quality assurance practices across our growing suite of software and data products. This is a technical leadership role embedded within our Technology teams, focused on establishing best-in-class data quality processes that enable trusted, scalable, and high-performance data solutions. As a Data QA Manager, you will drive the design, implementation, and continuous improvement of end-to-end data quality frameworks, with a strong focus on automation, validation, and governance. You will work closely with data engineering, product, and analytics teams to ensure data integrity, accuracy, and compliance across complex data pipelines, platforms, and architectures, including Data Mesh and modern cloud-based ecosystems. This role requires deep technical expertise in SQL, Python, data testing frameworks like Great Expectations, data orchestration tools (Airbyte, DbT, Trino, Starburst), and cloud platforms (AWS, Azure, GCP). You will lead a team of Data QA Engineers while remaining actively involved in solution design, tool selection, and hands-on QA execution. Responsibilities Key Responsibilities: Develop and implement a comprehensive data quality strategy aligned with organizational goals and product development initiatives. Define and enforce data quality standards, frameworks, and best practices, including data validation, profiling, cleansing, and monitoring processes. Establish data quality checks and automated controls to ensure the accuracy, completeness, consistency, and timeliness of data across systems. Collaborate with Data Engineering, Product, and other teams to design and implement scalable data quality solutions integrated within data pipelines and platforms. Define and track key performance indicators (KPIs) to measure data quality and effectiveness of QA processes, enabling actionable insights for continuous improvement. Generate and communicate regular reports on data quality metrics, issues, and trends to stakeholders, highlighting opportunities for improvement and mitigation plans. Maintain comprehensive documentation of data quality processes, procedures, standards, issues, resolutions, and improvements to support organizational knowledge-sharing. Provide training and guidance to cross-functional teams on data quality best practices, fostering a strong data quality mindset across the organization. Lead, mentor, and develop a team of Data QA Analysts/Engineers, promoting a high-performance, collaborative, and innovative culture. Provide thought leadership and subject matter expertise on data quality, influencing technical and business stakeholders toward quality-focused solutions. Continuously evaluate and adopt emerging tools, technologies, and methodologies to advance data quality assurance capabilities and automation. Stay current with industry trends, innovations, and evolving best practices in data quality, data engineering, and analytics to ensure cutting-edge solutions. Qualifications Required Skills 11+ years of hands-on experience in Data Quality Assurance, Data Test Automation, Data Comparison, and Validation across large-scale datasets and platforms. Strong proficiency in SQL for complex data querying, data validation, and data quality investigations across relational and distributed databases. Deep knowledge of data structures, relational and non-relational databases, stored procedures, packages, functions, and advanced data manipulation techniques. Practical experience with leading data quality tools such as Great Expectations, DbT tests, and data profiling and monitoring solutions. Experience with data mesh and distributed data architecture principles for enabling decentralized data quality frameworks. Hands-on experience with modern query engines and data platforms, including Trino/Presto, Starburst, and Snowflake. Experience working with data integration and ETL/ELT tools such as Airbyte, AWS Glue, and DbT for managing and validating data pipelines. Strong working knowledge of Python and related data libraries (e.g., Pandas, NumPy, SQLAlchemy) for building data quality tests and automation scripts.

About The Role Software Quality Assurance experience on enterprise level applications which includes Data Warehouse/ETL Testing. Experience in writing complex SQL queries, ability to determine the types of testing that must be conducted (i.e., data validation, regression, etc.), including evaluating the testability of requirements and create a comprehensive test plan that supports the business and technological solutions being delivered. Should have experience testing multiple test phases in medium to large projects. Should have adequate experience and clear understanding of data warehouse and data mart testing. Identification and Test Data Preparation Techniques. Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc. Proficiency with Test Case Preparation and Execution. Extensive exposure to Back-end/ETL/Datawarehouse Testing with high-level of SQL skills is required. Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an information technology operating environment. Defect tracking experience (i.e. Jira, Bugzilla, etc) Primary Skills ETL Testing Data Testing

Requirements: Must have worked in a QA role for ETL/data transformation Minimum 3+ years of QA experience Strong SQL skills Proficiency in using BigQuery functions and operators for data comparison, aggregation, and validation across different stages of the transformation Should have analytical skills to understand complex requirements to do in depth data validation Should be able to work independently to create artifacts such as test strategy, test plan etc. Good understanding of data mapping and data requirements Inclined to do rigorous and repeatable testing with enthusiasm to find bugs Willing to do manual SQL QA work with complex queries Intuitive and able to work independently Strong communication skills are a must have Experience and desire to work in a Global delivery environment Location : Hyderabad Shift : 1.00 PM to 10.00 PM Notice Period : Immediate to 15 Days

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

Core Responsibilities Provide Data Testing & Validation against an assigned workstream within the OSB Group, through activities including but not limited to: Designing and executing tests to validate the accuracy, completeness, and integrity of data across various systems and databases. Developing tailored test plans, cases, and scripts for data validation. Delivering Data Quality Assurance by implementing processes and methodologies to ensure adherence to data standards and best practices. Conducting data mapping and integration testing to ensure seamless data flow between systems. Validating data transformations, mappings, and business rules with data engineers and developers. Identifying, documenting and managing data-related defects using a defect tracking system. Collaborating with stakeholders and technical teams to resolve data issues. Conducting root cause analysis and recommending solutions for long-term data integrity. Documenting test plans, results, reports. Presenting data test findings, metrics[DEL: . :DEL] Working with cross-functional teams to understand data requirements and validate data accuracy. Communicating test progress, risks, and issues to senior team members Developing engagement skills through project work. Adhering to data governance policies and industry standards to ensure data security and privacy. Maintaining the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations. Ensuring that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day-to-day work that you put customers at the heart of everything you do; Ensuring that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day-to-day work that you treat data as an important corporate asset which must be protected and managed; Experience Requirements Proven experience as a Data Test Analyst/ Data Quality Analyst or in a related role, with a minimum 3 years (or equivalent) experience of data testing concepts and methodologies is essential. Proficiency in designing and executing data tests, profiling, quality assessment, and validation is essential. Strong analytical and reporting skills to identify and analyse data issues is essential. Proficiency in SQL query writing and data manipulation from relational databases is essential. Familiarity with data governance principles and regulatory requirements (e.g., GDPR, CCPA) is desirable. Understanding of data integration, ETL processes, and transformation validation is essential. Experience in managing and tracking data-related defects is desirable. Experience of Mortgage and Savings, products and domain services are desirable. Experience in Datawarehouse concepts is essential. Experience in Microsoft SQL Server Database language is essential. Experience in Test Management tools like JIRA, Zephyr, ADO is desirable. Knowledge Requirements In-depth knowledge of the software development lifecycle and defect resolution process is essential. Comprehensive understanding of testing methodologies and frameworks is essential. Experience in system integration, regression testing, and user acceptance testing is essential. Knowledge of manual and automated testing processes is essential. Experience with Azure Data Fundamentals is desirable. Familiarity with financial services, banking services domains is desirable. Detailed knowledge of Microsoft Word, PowerPoint, Excel is essential. Excellent analytical, mathematical and creative problem-solving skills is essential. Knowledge of savings and mortgage products is desirable. Knowledge on Stored Procedure, Views, Indexes, Triggers is essential. Knowledge on Data pipelines is desirable. Knowledge on Knowledge on ETL tools like SSIS is desirable. experience with Azure or any cloud technology is desirable Skill and Competency Requirements Proficiency with SQL tools, including Microsoft SQL Management Studio is essential. Intermediate skills in testing tools are essential. Attention to detail and ability to learn and adapt quickly is essential. Intermediate level skills in respect of verbal & written communication are essential. Intermediate level skills in respect of the ability to self-manage are essential. Ability to work within diverse, highly technical development teams Required Qualifications/Certifications Degree (or equivalent) qualifications are desirable. Bachelor’s degree in computer science, Data Science, Information Systems, or a related field is desirable. Relevant certifications in software testing (e.g., ISTQB) is desirable. Microsoft Azure Data Fundamental (DP 900) is desirable. Core Responsibilities Provide Data Testing & Validation against an assigned workstream within the OSB Group, through activities including but not limited to: Designing and executing tests to validate the accuracy, completeness, and integrity of data across various systems and databases. Developing tailored test plans, cases, and scripts for data validation. Delivering Data Quality Assurance by implementing processes and methodologies to ensure adherence to data standards and best practices. Conducting data mapping and integration testing to ensure seamless data flow between systems. Validating data transformations, mappings, and business rules with data engineers and developers. Identifying, documenting and managing data-related defects using a defect tracking system. Collaborating with stakeholders and technical teams to resolve data issues. Conducting root cause analysis and recommending solutions for long-term data integrity. Documenting t

ABOUT IRIS SOFTWARE IRIS Software Inc is a CMMI ML 5 professional software services organization offering high-quality, cost-effective solutions to businesses. It has helped meeting the IT requirements of companies ranging from those among the Fortune 100 to medium-sized firms by utilizing best-of-breed technologies, rapidly deployable solutions and flexible engagement models. With offices in India, USA , Mexico and Canada, we employ 3000+ highly talented professionals and domain experts. We are strategic partners to over 25 Fortune 100 companies and our consistent striving for high customer satisfaction has translated into long-standing relationships and a preferred-partner status with many of our partners. Over 93% of the customers we have worked with have chosen to re-engage with us. IRIS is a quality and security conscious organization and has maintained steady progress in its quality management and information security management programs over the years. Namely Software Process Maturity: Certified to ISO 9001:2008 since 2002 | CMMI ML 5 | ISO 27001:2013 Visit us at www.irissoftware.com We are hiring ETL tester for Noida/Gurugram/Pune location. Sr. Engineer - ETL Tester 5-8 experience in ETL and data testing Strong data analysis and understanding of data mapping Complex SQL scripting Project Shift time - 1:00 pm to 10:00 pm Interested candidates please share there resume on anu.c@irissoftware.com

Our employee value proposition (EVP) is about Being Your Best as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. Were a place where everyone can discover and be their best version. 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

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 Database - Database Programming - SQL QA/QE - QA Manual - Test Case Creation, Execution, Planning, Reporting with risks/dependencies Beh - Communication and collaboration

Location: Bangalore/Hyderabad/Pune Experience level: 8+ Years About the Role We are looking for a technical and hands-on Lead Data Engineer to help drive the modernization of our data transformation workflows. We currently rely on legacy SQL scripts orchestrated via Airflow, and we are transitioning to a modular, scalable, CI/CD-driven DBT-based data platform. The ideal candidate has deep experience with DBT , modern data stack design , and has previously led similar migrations improving code quality, lineage visibility, performance, and engineering best practices. Key Responsibilities Lead the migration of legacy SQL-based ETL logic to DBT-based transformations Design and implement a scalable, modular DBT architecture (models, macros, packages) Audit and refactor legacy SQL for clarity, efficiency, and modularity Improve CI/CD pipelines for DBT: automated testing, deployment, and code quality enforcement Collaborate with data analysts, platform engineers, and business stakeholders to understand current gaps and define future data pipelines Own Airflow orchestration redesign where needed (e.g., DBT Cloud/API hooks or airflow-dbt integration) Define and enforce coding standards, review processes, and documentation practices Coach junior data engineers on DBT and SQL best practices Provide lineage and impact analysis improvements using DBTs built-in tools and metadata Must-Have Qualifications 8+ years of experience in data engineering Proven success in migrating legacy SQL to DBT , with visible results Deep understanding of DBT best practices , including model layering, Jinja templating, testing, and packages Proficient in SQL performance tuning , modular SQL design, and query optimization Experience with Airflow (Composer, MWAA), including DAG refactoring and task orchestration Hands-on experience with modern data stacks (e.g., Snowflake, BigQuery etc.) Familiarity with data testing and CI/CD for analytics workflows Strong communication and leadership skills; comfortable working cross-functionally Nice-to-Have Experience with DBT Cloud or DBT Core integrations with Airflow Familiarity with data governance and lineage tools (e.g., dbt docs, Alation) Exposure to Python (for custom Airflow operators/macros or utilities) Previous experience mentoring teams through modern data stack transitions

Bengaluru, India Automated Testing Python BCM Industry 30/04/2025 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 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

Role & responsibilities : This will be a data-heavy role, which will primarily consist of : Checking the accuracy and completeness of data Merge and amend data records interactively, correct data wherever necessary Complete the data cleansing and related tasks without errors and within time Validate and test the final deliverable to ensure data accuracy Create a knowledge base of the learnings acquired such as error trends Incorporate best practices for data validation, cleaning and testing Functionality & performance testing of Product Manual Testing Preferred candidate profile Graduate (pref. B.Com, B.B.A - 2021, 2022, 2023) with 1 - 3 years of work experience Ability to cross reference a number of sources to ensure accuracy of data Strong interpersonal skills, a self-motivated and a committed individual Preferably have skills to identify the data gaps / errors in financial statements Preferably have some experience in Testing or willing to learn performance testing. Should have basic understanding of financial reports such as P&L statements, Balance Sheet, Cash Flow statements etc Perks and benefits Flexible work Timings Reward & Recognition Elite work environment

Key Responsibilities Synthetic Data Generation & Quality Assurance Design and implement scalable synthetic data generation systems to support model training Develop and maintain data quality validation pipelines ensuring synthetic data meets training requirements Build automated testing frameworks for synthetic data generation workflows Collaborate with ML teams to optimize synthetic data for model performance APIs & Integration Develop and maintain REST API integrations across multiple enterprise platforms Implement robust data exchange, transformation, and synchronisation logic between systems Ensure error handling, retries, and monitoring for all integration workflows Data Quality & Testing Implement automated data validation and testing frameworks for ETL and synthetic data workflows Translate data quality feedback from stakeholders into pipeline or generation process improvements Proactively monitor and maintain data consistency across systems Multi-System Integration & MCP Development Build and maintain tool registries for Model Control Protocol (MCP) integration across multiple enterprise systems Develop robust APIs for multi-system communication through MCP frameworks Design and implement workflows that coordinate multi-system interactions Ensure reliable data flow and error handling across distributed system architectures Cross-Functional Collaboration & Production Integration Partner with domain specialists to translate plan execution feedback into actionable insights Work closely with Product Managers to align synthetic data generation with business requirements Collaborate with Core Engineering teams to ensure seamless production deployment Establish feedback mechanisms between synthetic data systems and production environments Required Qualifications Technical Skills Programming: Proficiency in Python, Typescript (optional) Data Engineering: Experience in data engineering frameworks and libraries (Pandas, Apache Airflow, Prefect) APIs & Integration: Strong background in REST APIs and system integration Databases: Experience with relational and NoSQL databases (PostgreSQL, MongoDB) Cloud Platforms: Hands on experience with AWS/GCP/Azure Experience Requirements 2+ years experience in building production-scale data pipelines and orchestration systems Demonstrated success in cross-functional collaboration in technical environments Preferred Qualifications Familiarity with managing Kubernetes-based production workloads and workflow orchestration (Argo) Familiarity with containerisation and orchestration with tools like Docker, Kubernetes etc. Familiarity with synthetic or large-scale data generation Background in enterprise software integration Experience with Model Control Protocol (MCP) or similar orchestration frameworks Knowledge of automated testing frameworks for data pipelines What We Offer Lots of learning many systems are being built from the ground up, with no existing references or open-source projects to rely on. This will be the first time not just for you, but for the industry as well. Opportunity to work at the forefront of enterprise-scale synthetic data generation Collaborative environment with product teams, engineering, and domain specialists Competitive compensation and comprehensive benefits Professional development opportunities in cutting-edge data engineering and Kubernetes orchestration Team Structure You'll report to the AI Engineering Lead and work closely with: ML Engineers developing foundation models Product Managers defining business requirements Product Specialists providing domain expertise Backend Engineers handling production infrastructure This role offers significant impact on our data capabilities and the opportunity to shape how we generate and utilize synthetic data for training enterprise systems.

We are seeking an experienced QA ETL Engineer with a strong background in healthcare payer systems. The ideal candidate will have extensive experience in designing and executing test plans for data warehousing, ETL workflows, and backend data validation across large-scale healthcare datasets. Responsibilities: Design, develop, and execute detailed test plans and test cases for ETL processes. Experience with scripting in Python or Pyspark. Conduct end-to-end data validation across data sources, including claims, member, and provider data. Collaborate with data engineers, business analysts, and product owners to understand ETL requirements and test accordingly. Utilize ICEDQ or similar tools for ETL data testing and reconciliation. Perform SQL-based backend testing and test data management. Document test results and provide root cause analysis for data quality issues. Participate in Agile/Scrum ceremonies and continuous integration testing cycles. Required Skills: Deep knowledge in Test Design, Test Planning, and ETL Testing. Hands-on experience with AWS Services, especially Redshift, Glue. Working knowledge of Unix/Linux, API Testing, Test Automation. Familiarity with ICEDQ, Informatica, and data pipeline testing. Strong SQL skills and exposure to cloud-based data environments.

Position Details: Trainee - Quality Analyst (Fresher) Key Responsibilities : Conduct manual testing of datasets and validate outputs. Identify and report data inconsistencies or errors in scraping outputs. Collaborate with the Application Development team to resolve testing issues. Ensure data quality and compliance with standards. Technical Skills : Knowledge of Manual Testing techniques. Familiarity with SQL and Data Testing is a plus.

Project description We need Test / QA Analyst with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 3 to 6 years of experience in ETL & Data Testing Experience in testing Regulatory projects in banking Proficiency in writing SQL queries for data validation and testing. Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience

Project description We need experienced Test / QA Analyst with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 6+ years of experience in ETL & Data Testing Proficiency in writing SQL queries for data validation and testing. Experience in testing Regulatory projects in banking Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience

Project description We need experienced Test / QA Lead with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 10 + years of experience in ETL & Data Testing Experience in testing Regulatory projects in banking Proficiency in writing SQL queries for data validation and testing. Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience

Project description We need experienced Test / QA Analyst with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 6+ years of experience in ETL & Data Testing Proficiency in writing SQL queries for data validation and testing. Experience in testing Regulatory projects in banking Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience

Project description We need experienced Test / QA Lead with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 10 + years of experience in ETL & Data Testing Experience in testing Regulatory projects in banking Proficiency in writing SQL queries for data validation and testing. Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience

Project description We need Test / QA Analyst with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 3 to 6 years of experience in ETL & Data Testing Experience in testing Regulatory projects in banking Proficiency in writing SQL queries for data validation and testing. Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience

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

Project description We need Test / QA Analyst with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 3 to 6 years of experience in ETL & Data Testing Experience in testing Regulatory projects in banking Proficiency in writing SQL queries for data validation and testing. Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience

Project description We need experienced Test / QA Lead with ETL and Data Testing experience worked on Banking regulatory projects. Responsibilities Ensure successful delivery of Test Planning Coordination of testing activities Manage the project test resources Test design review Test execution management Risk and Issue management and escalation Test defect management Test reporting Provide test metrics for service delivery reporting Any additional responsibilities as identified / agreed with the Project Skills Must have 10 + years of experience in ETL & Data Testing Experience in testing Regulatory projects in banking Proficiency in writing SQL queries for data validation and testing. Experience in writing Test Strategy & Test Plans Test execution management Test defect management Test reporting Provide test metrics for service delivery reporting Nice to have Exposure to Agile AZURE cloud experience