QA Automation - Consultant

Job Description

Experience:
15+ years of Quality Engineering experience with strong exposure to automation and manual testing, managing large scale QE programs.
Responsibilities
. Lead and manage QE programs focused on Data Testing and ETL testing.
. Own test strategy, test planning, and execution for data pipelines and analytics platforms.
. Manage QE teams, including resource allocation, coordination, and delivery governance.
. Ensure data integrity, validation, reconciliation, and regression testing across ETL workflows.
. Drive process improvements to optimize quality, cost, and timelines.
. Collaborate closely with development and data engineering teams on defect resolution.
. Provide accurate testing estimations and quality reporting.
. 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
. Support proposal, RFP, and stakeholder presentations by articulating QE capability maturity, roadmap, and measurable outcomes (KPIs, ROI, coverage)

Required Skills
. Experience in ETL, data warehouse, and data validation testing.
. Hands on with automation tools (Selenium, TestNG, JUnit).
. 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 is a strong plus
. Proven ability to mentor and scale QE teams, establish best practices, and manage client expectations
. Strong interpersonal skills for stakeholder engagement across BAs, Product Owners, Architects, and Delivery Leads
. Strong communication and stakeholder management skills

Mandatory Competencies