Test Engineer – Data Migration & Transformation Validation - Java / Python automation along with CI/CD integration

Luxoft; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Luxoft is seeking an experienced Database Testing Lead in the United States to validate large data sets and ensure data integrity from AWS sources to downstream systems, including PNR creation on PID data. The role combines backend SQL validation with API testing as a secondary skill and requires strong automation experience.

You will lead data migration validation efforts, design comprehensive test strategies, write complex SQL queries, and develop automated scripts to reconcile source and

Qualifications

• Must have strong experience in SQL-based backend validation.
• Expertise in writing complex SQL queries (joins, aggregations, subqueries) and PLSQL.
• Able to build automation using Java or Python with CI/CD integration.
• Experience in API testing is required.
• Experience in file-to-file data validation.
• Hands-on experience with volume testing / large data set validation.
• Experience in data reconciliation and backend testing.
• Ability to validate data pipelines and data transformations.
• Experience validating data flow between systems and databases.
• Strong understanding of data integrity, accuracy, and consistency checks.

Responsibilities

• Data Migration & Transformation Validation across large datasets.
• Lead testing for large-scale data transformation and migration initiatives.
• Design and execute data validation strategies for migration accuracy.
• Develop complex SQL queries and automated validation scripts.
• Validate ETL/ELT processes, data mappings, and business logic.
• Perform end-to-end testing of batch, real-time, and incremental migrations.
• Identify and troubleshoot data quality issues and migration defects.
• Collaborate with data engineers and architects to define test strategies.
• Generate data quality metrics and migration readiness reports.
• Drive best practices in database testing and data quality engineering.
• AI Agent Onboarding & Test Automation: define onboarding approach for UA agents and establish automation-first testing for product workflows.
• Review architecture diagrams to align testing requirements with end-to-end agent workflows.
• Identify opportunities to apply AI-driven test automation to improve coverage and efficiency.
• Collaborate to embed DB automation & AI agent into the development lifecycle.
• Define test scenarios for AI-agent workflows across functional, integration, data, and end-to-end levels.

Skills

SQL-based backend validation

Complex SQL queries (joins, aggreg</n>

PLSQL

Java / Python automation

API Testing

File-to-File data validation

Volume testing / large data sets

Data reconciliation and backend tests

Data pipelines and ETL validation

End-to-end data migration testing

AI-driven test automation (nice to)

Tools

Postman

Swagger

Job description

Project description

We are looking for an experienced Database Testing Lead with strong expertise in SQL-based backend validation. The candidate will be responsible for validating large data sets, performing file-to-file reconciliation, volume testing, and ensuring accurate data validation from AWS sources to downstream systems (including PNR creation on PID data). API testing experience is required as a secondary skill.

Responsibilities

• Data Migration & Transformation Validation
• Lead testing efforts for large-scale data transformation and migration initiatives involving millions of records across enterprise Network Operation platforms.
• Design and execute comprehensive data validation strategies to ensure data accuracy, completeness, consistency, and integrity during migrations.
• Develop complex SQL queries and automated validation scripts to reconcile source and target systems at scale.
• Validate ETL/ELT processes, transformation rules, data mappings, and business logic across multiple data domains.
• Perform end-to-end testing of batch, real-time, and incremental data migration workflows.
• Identify, analyze, and troubleshoot data quality issues, migration defects, duplicates, missing records, and transformation anomalies.
• Collaborate closely with data engineers, architects, business analysts, and application teams to define test strategies and acceptance criteria.
• Generate detailed data quality metrics, reconciliation reports, and migration readiness assessments for stakeholders.
• Drive best practices in database testing, automation, and data quality engineering to ensure successful delivery of enterprise migration programs.AI Agent Onboarding & Test Automation
• Partner with AI agent onboarding partners to define and execute the onboarding approach for all three UA agents.
• Establish an automation-first testing strategy for the product and agent-based workflows.
• Review the product architecture diagrams, and overall solution objectives to understand the end-to-end agent workflow and testing requirements.
• Identify opportunities to use AI-driven test automation to improve test coverage, execution efficiency, and agent workflow validation.
• Collaborate with development, architecture, AI partners, and QA teams to embed DB automation & AI agent into the product development lifecycle.
• Define test scenarios and validation strategies for AI-agent-based workflows, covering functional, integration, data, and end-to-end validation.

SKILLS

Must have

• Primary Skills
• Strong experience in Database Testing using SQL
• Expertise in writing complex SQL queries (joins, aggregations, subqueries) and PLSQL
• Able to build Automation either Using Java / Python along with CI/CD integration
• Experience in API Testing
• Experience in File-to-File Data Validation
• Hands-on experience with Volume Testing / Large Data Set Validation
• Experience in data reconciliation and backend testing
• Ability to validate data pipelines and data transformations
• Experience validating data flow between systems and databases
• Strong understanding of data integrity, accuracy, and consistency checksTechnical Skills
• SQL (Mandatory)
• Database platforms such as Oracle, SQL Server, PostgreSQL, or MySQL
• AWS data validation
• Experience working with large data volumes
• Knowledge of data migration and ETL validation

Nice to have

Secondary Skills

• API Testing using tools such as Postman, Swagger, or similar tools
• Experience in AI-driven test automation
• Understanding of REST APIs and HTTP methods (GET, POST, PUT, DELETE)
• Ability to validate API responses with database data
• Knowledge of JSON/XML validation