TRCD-26-05232

Test Engineer – Data Migration & Transformation Validation

Contract Test Engineer to lead QA for large-scale enterprise data migration and transformation programs (millions of records) across Network Operations platforms. The role focuses on designing data validation strategies, building complex SQL and automated reconciliation scripts, validating ETL/ELT mappings and transformation logic, and executing end-to-end testing for batch, real-time, and incremental migration workflows. You will troubleshoot data quality issues (duplicates, missing records, anomalies), produce reconciliation/quality metrics and readiness reports, and partner with data engineering/architecture/BA teams on test strategy and acceptance criteria. AI-agent onboarding and AI-driven test automation for agent workflows is a good-to-have.

Apply for this role See all roles

Position summary

Location: India
Workplace: Remote
Employment: Contract
Experience: Minimum 6 years and Maximum 10 years

Apply now

Role overview

Why This Role Matters.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

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.

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 (Good to Have)

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.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

SQL

Required

data validation

Required

data reconciliation

Required

data migration

Required

data transformation

Required

ETL

Required

ELT

Required

data mapping

Required

transformation rules

Required

data quality

Required

batch processing

Required

real-time pipelines

Required

incremental loads

Required

database testing

Required

test automation

Required

automation scripts

Required

data profiling

Required

reconciliation reports

Required

migration readiness

Required

AI-driven test automation

Required

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

Data migration testing and validation at scale (millions of records)

Data transformation validation (rules, mappings, business logic)

Data quality validation (accuracy, completeness, consistency, integrity)

Advanced SQL (complex queries for reconciliation and validation)

Automated data validation scripting (database/ETL validation automation)

ETL/ELT testing (pipelines, transformations, mappings)

End-to-end testing of batch, real-time, and incremental migration workflows

Defect analysis and troubleshooting of data issues (duplicates, missing records, anomalies)

Test strategy and acceptance criteria definition with cross-functional teams

Data reconciliation reporting and data quality metrics generation

Preferred

Nice to Have

Automation-first QA strategy

AI-driven test automation

Testing/validation of AI-agent-based workflows (functional, integration, data, E2E)

Embedding DB automation and AI agent into SDLC

Agent workflow validation and scenario design

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

Apply for Test Engineer – Data Migration & Transformation Validation

One page, about two minutes. We only ask for what we actually need to have a first conversation.