Data Quality Engineer

Acceptance testing and business readiness

Agile testing, Three Amigos and shift-left / shift-right

BDD and Gherkin: examples, rules and executable scenarios

Bidirectional traceability and coverage model

Defect discovery, triage and reproducible reporting

Deriving test conditions and scenarios from requirements

Integrated learning module – 2 related topics

Product-risk analysis and prioritisation

Requirement and user-story ambiguity analysis: IGS 5C + INVEST

SAFe 6.0 for QE: ART, PI planning, system demo, inspect/adapt, quality practices and dependencies

Static testing, reviews and early quality gates

Status, metrics and fact-based quality reporting

Test data design, privacy and lifecycle

Test design techniques: EP, BVA, decision tables, state transitions and pairwise

Writing test cases from test scenarios

Airlines and travel

Banking, Financial Services & FinTech – Engineer practical domain lab

BFSI, digital banking, cards and payments

Clinical trials and remote patient monitoring

Domain data, controls, privacy and regulation

Domain discovery and value-chain mapping

Domain risk-to-test / engineering map

EdTech & Learning Platforms – Engineer practical domain lab

EdTech and learning platforms

Enterprise Applications & Integrations – Engineer practical domain lab

Healthcare and HealthTech

Healthcare, Clinical Trials & RPM – Engineer practical domain lab

Insurance

Insurance – Engineer practical domain lab

Manhattan WMS & Omnichannel – Engineer practical domain lab

Manufacturing & Industrial – Engineer practical domain lab

Manufacturing and Industry 4.0

OTT, Media & Connected TV – Engineer practical domain lab

OTT, media, streaming, adtech and analytics

Personas, customer journeys and business rules

Quick Commerce & Last-Mile Delivery – Engineer practical domain lab

Retail & E-commerce – Engineer practical domain lab

Retail, e-commerce and quick commerce

Salesforce Enterprise Cloud – Engineer practical domain lab

SAP S/4HANA & Enterprise Processes – Engineer practical domain lab

Telecom, OSS/BSS and 5G

Telecommunications & 5G – Engineer practical domain lab

Workday HCM & Finance – Engineer practical domain lab

API checking with Postman

API libraries: Playwright APIRequest, WebdriverIO services and REST Assured

Authentication, authorisation and API security basics

Confluence for QE: find product knowledge, create requirement notes, decisions and evidence pages

Data profiling and quality dimensions

ETL / ELT mapping and transformation testing

GenRocket: domains, attributes, generators, receivers, scenarios and automation integration

Git and pull-request workflow for QE: branch, commit, merge, review, resolve and tag evidence

Git and source-control basics

HTTP, REST, JSON and API test design

Integrated learning module – 2 related topics

Jira defects: create, classify, evidence, link, triage, retest and close

Jira for QE: stories, tasks, workflow, comments, evidence, filters and dashboards

Newman: command-line collection runs, data, reporters, environments and CI

OpenAPI, schema and consumer-contract testing

Playwright with TypeScript: locators, fixtures, assertions, API checks, projects, traces and CI

Postman Interceptor, Charles Proxy and Fiddler: capture, replay and diagnose HTTP traffic

Postman service virtualization: examples, mock servers and consumer simulations

Postman: requests, auth, variables, scripts, data, collections and documentation

qTest Manager: requirements, test cases, cycles, execution, defects and dashboards

QualiZen practitioner: ambiguity, risk, test design, automation recommendation and quality insights

Robot Framework: keyword design, SeleniumLibrary/RequestsLibrary, data and reports

Salesforce test automation with Provar/Copado and Apex test awareness

Selenium WebDriver: locators, waits, page objects, TestNG/PyTest, Grid and CI

SQL and database testing: joins, constraints, transactions, reconciliation and data integrity

SQL for data verification

WebdriverIO with JavaScript/TypeScript: page objects, services, API/mobile, parallel runs and CI

WireMock, MockServer and Hoverfly: programmable service virtualization, faults and latency

Zephyr RTM: requirement-to-scenario-to-test-to-defect traceability and coverage reporting

Zephyr: create a test cycle, assign tests, execute, attach evidence, link defects and retest

Zephyr: create folders, scenarios, test cases, preconditions, steps, data and expected results

AI agents for API, contract and integration testing – Quality Engineer

AI for API, integration, contract and data quality testing – Quality Engineer

AI-assisted execution, failure clustering and RCA

AI-assisted requirement analysis and test design

AI-assisted service virtualisation and mock engineering – Quality Engineer

Atlassian Rovo for Jira and Zephyr-supported QE workflows

Human review of AI-generated testware

Client communication and expectation management

Concise written communication: status, risk, decision and defect

Cross-cultural collaboration in global teams and clients

Integrated learning module – 2 related topics

Spoken communication in stand-ups, reviews and technical discussions