ETL Testing

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); On-site; USD 55,000 - 117,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an ETL Testing lead to define and drive testing strategy, build automation across UI, API, and backend, and coordinate testing across multiple QA teams in Charlotte, NC. The role emphasizes data management, traceability, and defect reporting to ensure quality throughout the SDLC.

The candidate will establish robust test processes, manage data generation, and collaborate with stakeholders to sign off on test cases and support an efficient release cycle.

Qualifications

• Experience defining and improving testing strategy and processes.
• Experience leading QA across multiple teams.
• Ability to build test automation across UI, API, and backend.
• Proficient in test data management and data compliance.

Responsibilities

• Defines testing strategy and processes; improves them across teams.
• Establishes test and automation strategy; creates framework and manages processes.
• Creates and optimizes test processes including defect management and reporting.
• Contributes to building quality into the SDLC with best practices and tools.
• Leads test planning for complex features across platforms.
• Ensures traceability and alignment of test cases with stakeholders.
• Manages test execution and escalates issues affecting plans.
• Supports data generation and compliance in test environments.
• Reports defects with context for review.

Skills

Test strategy

Automation framework

Defect management

Risk-based testing

Traceability

Test data management

SDLC understanding

Cross-team coordination

Tools

Test automation tools

Defect tracking tools

Job description

Job Overview

Job ID: J52441

Job Title: ETL Testing

Location: Charlotte, NC

Duration: 18 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Details

• Ensures the testing strategy and processes are well-defined and continuously improved for the team or teams. Able to handle multiple QA teams and cross functionality.
• Establishes a test and automation strategy, creating common test frameworks, defining and managing test processes including test data generation, defect management and reporting.
• Creates and optimizes test processes including defect management and reporting.
• Contributes to building quality into the SDLC using best practices and tools. Creates a test automation strategy across the application stack (UI, API, and Backend, etc.).
• Creates and optimizes test automation frameworks and use of test automation tools.
• Leads test planning for complex features that span across the platform or multiple teams.
• Ensures alignment and sign off for test cases from business and other stakeholders. Optimizes test suites employing techniques such risk-based testing.
• Manages test execution and assists with resolving, communicating or escalating any issues that may result in test plan variance.
• Contributes to test data management approach, processes and tools.
• Conditions and generates test data and ensure data compliance requirements are met on all levels of test environments.
• Reports issues and defects along with the appropriate background information for review.
• Participates in triaging reported issues/defects and assists with resolving or escalating them as necessary.
• Creates and manages traceability.
• Traces tests forwards/backwards through the development lifecycle and back to requirements.
• Uses testing tools and follows processes to complete testing in a given test environment and assists with fulfilment of necessary steps required to promote code base to higher level environments.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract