Lead Data Quality Engineer

Acceptance testing and business readiness

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

CSTM / advanced test management: strategy, planning, estimation, monitoring, people and improvement

Developing an actionable test plan

KPI, SLA, OLA and outcome-measure design

Product-risk analysis and prioritisation

Root-cause analysis and test-process improvement

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

Status, metrics and fact-based quality reporting

Test completion, closure and release recommendation

Test estimation, sizing and capacity

Test monitoring, control and recovery planning

Test strategy and risk-based operating model

TMMi Level 2 – managed test process

Airlines and travel

Banking, Financial Services & FinTech – Lead 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 KPIs, SLAs and operational failure patterns

Domain risk-to-test / engineering map

EdTech & Learning Platforms – Lead practical domain lab

EdTech and learning platforms

Enterprise Applications & Integrations – Lead practical domain lab

Healthcare and HealthTech

Healthcare, Clinical Trials & RPM – Lead practical domain lab

Insurance

Insurance – Lead practical domain lab

Manhattan WMS & Omnichannel – Lead practical domain lab

Manufacturing & Industrial – Lead practical domain lab

Manufacturing and Industry 4.0

OTT, Media & Connected TV – Lead practical domain lab

OTT, media, streaming, adtech and analytics

Personas, customer journeys and business rules

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

Retail & E-commerce – Lead practical domain lab

Retail, e-commerce and quick commerce

Salesforce Enterprise Cloud – Lead practical domain lab

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

SME elicitation and rapid knowledge capture

Telecom, OSS/BSS and 5G

Telecommunications & 5G – Lead practical domain lab

Workday HCM & Finance – Lead practical domain lab

API checking with Postman

API libraries: Playwright APIRequest, WebdriverIO services and REST Assured

Asynchronous events, queues and Kafka testing

Authentication, authorisation and API security basics

Automated data-quality checks with Great Expectations

Data privacy, masking and synthetic test data

Data quality with Great Expectations and dbt tests: schema, freshness, uniqueness and business rules

Data-pipeline CI, observability and incident diagnosis

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

Mocks, stubs and service virtualisation

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

Observability for QE: Grafana, Prometheus, Datadog traces/logs/metrics and release correlation

OpenAPI, schema and consumer-contract testing

Pact: consumer contract, provider verification, broker and CI compatibility gate

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

Resilience, timeout, retry and idempotency testing

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

Salesforce test automation with Provar/Copado and Apex test awareness

Schema, lineage and change-impact testing

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

AI agents for API, contract and integration testing – Lead QE

AI controls for a QE workstream

AI for API, integration, contract and data quality testing – Lead QE

AI-assisted release risk, triage and quality reporting

AI-assisted service virtualisation and mock engineering – Lead QE

AI-assisted test planning, estimation and work allocation

Atlassian Rovo for Jira and Zephyr-supported QE workflows

Client communication and expectation management

Concise written communication: status, risk, decision and defect

Conflict resolution and constructive challenge

Cross-cultural collaboration in global teams and clients

Difficult conversations – internal team and client

Giving feedback, coaching and mentoring

Integrated learning module – 2 related topics

Integrated learning module – 2 related topics

Internal negotiation: priorities, capacity and dependencies

Leadership, delegation and accountability

Spoken communication in stand-ups, reviews and technical discussions