Oracle SCP Functional QA Engineer

Role Summary

The QA Engineer (Automation + Manual) is responsible for ensuring the quality, reliability, and compliance

readiness of the ERP platform. This role involves end-to-end testing of complex workflows, including compliance

processes, legal case management, and multi-entity operations. The QA will play a critical role in preventing

defects in high-risk areas such as accounting, regulatory filings, and audit trails, while also building automation

frameworks to improve testing efficiency and release confidence.

Job Responsibilities

• Understand business requirements, technical architecture, and ERP workflows.

• Create test strategies and test plans covering functional, integration, and regression testing.

• Identify high-risk areas such as compliance deadlines, approvals, and workflow dependencies.

• Perform functional testing of ERP modules and end-to-end workflow testing.

• Validate complex business scenarios and multi-role workflows such as admin, compliance officer, and accountant.

• Conduct exploratory testing for edge cases.

• Ensure accuracy of financial and legal data flows.

• Design and develop automated test scripts for UI and APIs.

• Build scalable automation frameworks.

• Automate regression suites and critical workflows such as compliance filings, approvals, and calculations.

• Integrate automation with CI/CD pipelines.

• Validate REST / GraphQL APIs.

• Perform data validation between database and API responses.

• Test integration points with third-party APIs and government portals.

• Test multi-step approval workflows, RBAC, and document lifecycle flows.

• Ensure correct escalation and notification flows.

• Conduct basic performance testing, including API response times.

• Identify bottlenecks in workflows and support load testing efforts.

• Log clear, reproducible bugs and track defects through the lifecycle.

• Collaborate with developers for quick resolution.

• Prioritise based on business impact.

• Work closely with the Product Manager and developers for requirements clarity and early testing.

• Participate in sprint planning, daily standups, and sprint demos.

• Use Gen AI as a force multiplier.

Qualifications

• Bachelor's degree in Computer Science / IT / Engineering.

• 5-7 years of experience in QA, including manual and automation testing.

• Experience in enterprise applications / ERP / SaaS platforms.

• Strong experience in workflow-based systems.

• Strong expertise in test case design, exploratory testing, and workflow validation

Job Title : Oracle EBS Functional & Automation Testing Engineer

Experience : 8+ Years

Location : Remote

Employment Type : Full-Time

Position Overview :

We are looking for an experienced Oracle EBS Finance Functional & Automation Testing Engineer with strong expertise in Oracle EBS R12 / R12.2, financial business processes, and test automation.

The candidate should be skilled in building reusable automation frameworks and validating end-to-end finance workflows across UI, API, and database layers.

Strong experience with Playwright, TypeScript / JavaScript, Oracle SQL, and Oracle Forms automation is highly preferred.

Mandatory Skills :

Oracle EBS R12 / R12.2 Finance (GL, AP, AR, Fixed Assets, Cash Management), Playwright, TypeScript / JavaScript, Oracle Forms Automation, Oracle SQL, REST / SOAP API Testing, Automation Framework Development, Procure-to-Pay (P2P), Order-to-Cash (O2C), and Record-to-Report (R2R).

Key Responsibilities :

• Design and maintain automated tests for Oracle EBS Finance modules : GL, AP, AR, Fixed Assets, and Cash Management.
• Develop automation frameworks using Playwright with TypeScript / JavaScript.
• Automate Oracle Forms-based workflows using SikuliX, OpenCV, PyAutoGUI, or equivalent tools.
• Perform REST / SOAP API testing and validate financial transactions using Oracle SQL.
• Automate end-to-end finance processes, including Procure-to-Pay (P2P), Order-to-Cash (O2C), and Record-to-Report (R2R).
• Integrate automation suites with Git and CI/CD pipelines; implement test reporting and failure analysis.
• Collaborate with functional and technical teams to improve test coverage, framework stability, and automation quality.
• Explore AI-assisted testing, test-case generation, and intelligent / self-healing automation.

Required Skills :

• 8+ years of experience in software quality engineering and automation testing.
• Strong hands-on experience with Oracle EBS R12 / R12.2 Finance modules and financial business processes.
• Expertise in Playwright with TypeScript / JavaScript and reusable automation framework development.
• Experience with Oracle Forms and EBS web / HTML applications.
• Strong knowledge of Oracle SQL, database validation, REST / SOAP APIs, and EBS integrations.
• Experience with Git and CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
• Strong analytical, troubleshooting, communication, and problem-solving skills.

Good to Have :

• SikuliX, OpenCV, or PyAutoGUI for Oracle Forms automation.
• Python / Node.js database connectivity, Selenium / Cypress, and automated test reporting tools such as Allure.
• Financial reconciliation, SFTP / XML / CSV integrations, concurrent programs, and batch processing.
• Docker, performance testing, Agile / Scrum, and AI-powered quality engineering tools.

Priority : Candidates with strong hands-on experience in Oracle EBS Finance + Playwright / TypeScript automation + Oracle Forms automation.

Job description for an Oracle Cloud HCM Tester role:

 * The position requires 5 to 8 years of experience in Oracle Cloud HCM testing, specifically across Payroll, Absence, and Core HR modules, along with good communication skills and knowledge of testing processes.

 * The work location for this role is Bangalore.

Role: Oracle Fusion Functional Consultant

Location: Bengaluru (Marathahalli)

Experience: 7+ years

Job Type: Full-Time

Responsibilities

·      Lead functional configuration of Oracle Fusion Procurement modules

·      Drive sourcing activities including RFPs, tenders, and knockout analysis

·      Partner with business and technical teams to deliver end-to-end S2P solutions

·      Lead UAT, quarterly release impact analysis, and functional enhancements

·      Provide documentation, training, and knowledge transfer

·      Monitor procurement KPIs and recommend process optimizations

Skills & Qualifications

·      7+ years Oracle Fusion Procurement experience

·      Strong hands-on expertise in Purchasing, SSP, Supplier Portal, Qualification, Sourcing, and Contracts

·      Experience with OTBI/BIP reporting and BPM workflows

·      Consulting or DevOps delivery experience preferred

·      Strong stakeholder management and communication skills

Job Summary

Seeking an experienced QA professional with strong expertise in functional testing, preferably within the banking domain. Automation testing experience will be an added advantage.

Key Responsibilities

• Perform functional testing of banking applications.
• Design, execute, and document test cases and test scenarios.
• Identify, analyze, and report defects and track them through resolution.
• Perform basic SQL queries for data validation and testing.
• Work with testing and collaboration tools including ALM/QC, JIRA, Confluence, and SharePoint.
• Work effectively within an Agile environment.
• Collaborate with business and technical teams to understand requirements and testing needs.
• Apply strong analytical and problem-solving skills throughout the testing lifecycle.

Required Skills

• 6–8 years of relevant testing experience.
• Strong experience in Functional Testing.
• Banking domain experience.
• Basic SQL knowledge and hands-on experience writing SQL queries.
• Experience with ALM/QC, JIRA, Confluence, and SharePoint.
• Strong analytical skills.
• Excellent oral and written communication skills.
• Experience working in an Agile environment.
• Automation testing experience is an added advantage.
• Knowledge of Card Payments is an added advantage.

Senior Quality Engineer

Notice Period: Immediate

Purpose of the Job:

We are seeking a highly skilled and experienced Senior Quality Engineer to join our Enterprise Technology and Data team. This role is crucial in ensuring the delivery of high-quality data-driven solutions and applications across our enterprise systems. The ideal candidate will have deep expertise in quality engineering, automated testing, and extensive experience in testing large-scale data systems, particularly in ETL processes and working with Azure Fabric and Google Cloud data platforms such as BigQuery and Google Cloud Data Pipelines.

As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of our technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform). You will work closely with cross-functional teams including developers, data engineers, and product managers to ensure that the highest standards of quality are maintained throughout the software development lifecycle.

Main Activities:

1. · Test Planning & Execution: Design detailed test strategies/plans, test cases, and test scripts to validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP (e.g., Dataflow, Data Fusion, BigQuery pipelines), including both functional and non-functional testing.
2. · Data Quality: Collaborate with data engineers to monitor and ensure the accuracy, completeness, and consistency of data across various data platforms including Azure Synapse/Fabric and Google BigQuery, validating transformations and data integrity in ETL pipelines.
3. · Data Pipeline Testing: Collaborate with data engineering teams to design and execute tests for Data pipelines running on Azure Fabric as well as Google Cloud services such as Dataflow, Dataproc, and Pub/Sub-based pipelines, ensuring transformation, integration, and storage processes function as expected.
4. · SQL Database Testing: SQL Database Testing: Development and execution of SQL-based automated tests for database validation, ensuring data integrity, performance, and security across multiple databases including BigQuery datasets and Azure SQL/Synapse environments.
5. · Performance Testing: Conduct performance testing to evaluate the scalability, stability, and performance of large-scale data systems across distributed cloud platforms including Azure and GCP.
6. · Automated Testing: Develop and maintain automated test frameworks for data applications, including ETL processes, APIs, and data integration systems using industry-standard tools, and extend automation to support BigQuery validation, GCP pipeline testing, and AI/ML data validation scenarios.
7. · Defect Tracking & Resolution: Work with development and operations teams to identify, report, and track defects across multi-cloud data ecosystems, ensuring timely resolution.
8. · Continuous Improvement: Propose and implement improvements to testing processes and frameworks to increase efficiency and effectiveness of quality assurance efforts across Azure and Google Cloud-based data platforms and AI-enabled data solutions.
9. · Collaboration: Partner with business stakeholders, project managers, and technical teams to ensure alignment with quality goals and deliverables across enterprise data platforms spanning multiple cloud providers.
10. · Mentorship: Provide guidance and mentorship to junior quality engineers, helping them improve their technical skills in modern data testing practices including cloud-native and AI-driven validation techniques.
11. · Compliance & Best Practices: Ensure adherence to industry standards and best practices related to software quality, particularly in relation to data systems, ETL processes, and cloud technologies including Azure and Google Cloud Platform environments.

Knowledge/Skill Requirements:

· Education:

1. o Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
2. · Experience:
3. o 5+ years of experience in software quality engineering, with at least 3 years of experience in an enterprise data environment.
4. o Proven experience in automated testing tools (e.g., Selenium, JUnit, TestNG, or similar frameworks).
5. o Hands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP).
6. o Strong understanding of data management, data warehousing, ETL processes, and data integration.
7. o Experience with data warehousing, data lakes, and cloud-based ETL tools including Azure Data Factory, Azure Synapse, Google BigQuery, Dataflow, and Dataproc is a plus.

Technical Skills:

1. o Proficient in scripting languages (e.g., Python, Java, SQL) for test automation and ETL process validation.
2. o Experience working with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, as well as Google Cloud services such as BigQuery, Dataflow and Cloud Composer (Airflow) for data pipeline orchestration and validation.
3. o Strong knowledge of software development methodologies (Agile, Scrum, Waterfall) and experience in a continuous integration/continuous deployment (CI/CD) environment.
4. o Familiarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP).
5. · Soft Skills:
6. o Strong analytical, problem-solving, and troubleshooting skills.
7. o Excellent communication skills, with the ability to collaborate effectively across departments.
8. o Detail-oriented with a passion for ensuring high-quality standards in data-driven solutions.
9. o Ability to work independently and as part of a team, managing multiple priorities in a fast-paced environment.
10. · Certifications/Additional Training – Nice-to-Have:
11. o Relevant certifications (e.g., Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer or Professional Cloud Developer) are a plus.
12. o Experience working with data governance tools such as Azure Purview and ensuring data compliance

Job Overview: 

We are seeking a skilled QA Engineer with expertise in testing frontend, backend systems, PostgreSQL, and ensuring dataflow and report consistency. The ideal candidate will have experience in performing API testing, including load and stress tests. You will be responsible for designing and implementing test plans to ensure our systems are reliable, scalable, and functionally sound. 

Key Responsibilities:

• Conduct thorough testing of frontend and backend components to ensure alignment with design specifications and functionality requirements.
• Perform comprehensive PostgreSQL testing, including database integrity checks, query performance analysis, and ensuring data consistency.
• Validate dataflow across systems to ensure data accuracy, consistency, and integrity in real-time or batch processing pipelines.
• Test the consistency of reports generated from databases, ensuring they reflect the correct, up-to-date data from the underlying systems.
• Design and execute API testing for both functionality and performance (load, stress, and scalability tests).
• Create, maintain, and enhance automated test scripts for frontend, backend, and API testing.
• Collaborate with developers, product managers, and other stakeholders to ensure clarity in requirements and testing coverage.
• Identify, document, and track defects using bug tracking tools such as Jira, and work closely with the development team for prompt resolution.
• Ensure that all testing results meet the highest quality standards and are aligned with project deadlines.
• Provide insights and suggestions for improvements in the testing process and tools

Required Skills & Experience:

• 2+ years of experience as a QA Engineer, with hands-on experience testing frontend and backend applications.
• Strong experience with PostgreSQL or similar relational databases, including writing SQL queries to validate data and performance.
• Experience with API testing tools such as Postman, SoapUI, or JMeter for functional, load, and stress testing.
• Familiarity with load and stress testing methodologies to validate system performance under varying conditions.
• Experience testing data pipelines and ensuring dataflow consistency across ETL processes and distributed systems.
• Strong understanding of data validation, report consistency, and how data should move accurately through multiple systems.
• Experience with backend testing, including working with RESTful APIs and validating request/response cycles.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills with the ability to troubleshoot and isolate issues in a complex system.
• Excellent communication skills to interact effectively with cross-functional teams.

Nice to Have:

● Experience with CI/CD pipelines to automate testing and deployment processes.

● Knowledge of NoSQL databases like MongoDB in addition to relational databases.

● Familiarity with cloud platforms such as AWS, GCP, or Azure for testing cloud-based applications.

● Experience with performance monitoring tools like New Relic, Dynatrace, or Grafana.

● Experience with test automation frameworks like Selenium, Cypress, or TestCafe for frontend testing.

Qualifications:

● Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

● Proven track record in testing web applications, data pipelines, and APIs.

What We Offer:

● Competitive salary and benefits package.

● A chance to work on challenging and cutting-edge technologies.

● Flexible working hours and remote work options.

● Opportunities for career growth and learning.

● An inclusive and collaborative work environment