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QA Engineer (Data Warehousing)

Hybrid in New York, NY, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Contract Independent

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Acceptance Testing
Amazon Web Services
Data Integrity
Data Processing
Integration Testing
Investment Banking
Regression Testing
Quality Assurance
Securities
Scripting
SQL
Unix
Random Testing
Java
JIRA
Bitbucket

Summary

QA Engineer
New York, NY
3 days a week onsite work
Onsite Interview Required
***Must have recent and extensive Investment Banking industry experience

Client in NYC is looking for a Traditional QA Engineer.

Core Focus Areas:

Manual Regression Testing: Verifying that new code deployments or updates do not break existing financial reporting, reconciliation tools, or trading logic.
Functional & Integration Testing: Validating the end-to-end flow of transactions, trade lifecycles, and data processing between front, middle, and back-office systems.
Negative & Ad-hoc Testing: Intentionally inputting invalid data or unexpected user actions to test application resilience and error-handling capabilities.
User Acceptance Testing (UAT) Support: Serving as a "quality catalyst " by collaborating directly with developers, business analysts, and end-users to manage UAT guidelines and verify real-world operational

Technical and Domain Competencies
Traditional QA teams handle highly complex enterprise systems and generally require a specific mix of financial and technical skills:

Database & Data Integrity: High proficiency in writing complex SQL queries to manage and validate financial data stores. Traditional and Cloud Databases.
System Environments: Navigating backend servers using Unix/Linux commands and scripting.
Technology Stack: AWS, Microservices, SpringBoot, Java, Streaming Architecture
Domain Knowledge: Understanding specific financial structures such as Securities Lending, Equity Swaps, FIX protocols, and T+1 clearance mandates.
Tool Tracking: Rigorous defect logging, sprint tracking, and requirement mapping utilizing platforms like Jira and Bitbucket

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10109002
Position Id: SJ_Consultant
Posted 1 day ago

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Shalini Jerath

Enterprise Engineering Recruiter @ Enterprise Engineering

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