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Data Testing Engineer
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Tata Consultancy Services
Hamilton Township, NJ (In Person)
$115,000 Salary, Full-Time
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Job Description
Must Have Technical/Functional Skills We are seeking a Senior Data Testing Engineer with a strong business and domain understanding of wealth management platforms and a passion for data quality and automation. This is a hands-on role focused on understanding how the business operates, how financial products behave, and how data flows across systems, and then translating that understanding into effective automated data tests. This role emphasizes business-driven testing, where the engineer deeply understands products, calculations, data transformations, and downstream impact, and uses Python-based data testing and automation tools (e.g., PyTest, Python DQ frameworks) to validate correctness. You will work closely with Product, Business Analysts, Data Engineers, and Developers to ensure financial data is reliable, explainable, and trusted. Roles & Responsibilities Business & Domain-Driven Data Testing Develop strong functional understanding of wealth management products, including: o Accounts, positions, holdings, transactions, balances, and statements o Fees, performance, valuations, and corporate actions Understand business workflows and data flows end-to-end, such as: o Trade capture booking settlement accounting reporting o Client onboarding account setup funding transactions o Market data ingestion pricing valuation Translate business rules and requirements into testable data validation scenarios Data Testing & Reconciliation Design and execute data validation and reconciliation tests for: o Financial transactions and balances o Positions, holdings, and ledger data o Client, account, security master, and reference data Automation & Tooling (Python / PyTest Focus) Build and maintain automated data quality tests using: o Python and PyTest o SQL-based assertions and reconciliation queries o Python-based data quality or validation frameworks Automate validation for: o Databases and data stores o APIs and backend services (data-centric validation) o File-based integrations (CSV, JSON, XML) Integrate automated data tests into CI/CD pipelines or scheduled runs Collaboration & Defect Analysis Partner with business, product, and engineering teams to: o Clarify requirements and expected data behavior o Investigate data issues with a business-first mindset o Provide clear explanations of data breaks and mismatches Document defects with business context, data evidence, and root-cause insights - Required Qualifications 10+ years of experience in Data Testing or SDET roles with strong business and data focus Strong understanding of wealth management or financial services domains Hands-on experience with: o Python and PyTest for data testing automation o Advanced SQL for data validation and reconciliation Experience validating: o Backend systems, APIs, and integrations from a data perspective o Batch processing and data pi pelines Ability to understand business rules, calculations, and financial logic, not just schemas