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Added 7 days ago
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TEST ENGINEER (Cloud Migration Validation, Failure Triage & Root-Cause Analysis)
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Next Pathway

TEST ENGINEER (Cloud Migration Validation, Failure Triage & Root-Cause Analysis)

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 18, 2026
Posting language: English
Posted: Sep 18, 2026

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Original job description

TEST ENGINEER

for

Next Pathway - The Automated Cloud Migration Company

Cloud Migration Validation, Failure Triage & Root-Cause Analysis

The Role. Next Pathway is looking for technically strong, highly analytical Test Engineers who can investigate failures across complex cloud migration and data environments. This is not a traditional QA role: the engineer is expected to read logs, interrogate data, reproduce issues, isolate root causes, and determine whether a failure originates in code, data, configuration, environment, orchestration, permissions, or the test framework itself.

Location. Toronto

Key Responsibilities

Execute, monitor, and assess automated and manual testing for enterprise cloud migration and modernization workloads.
Use Next Pathway’s TESTER software to validate translated code, data integrity, execution results, and production readiness across source and target environments.
Analyze test results, application logs, database logs, ETL/orchestration logs, audit logs, stack traces, and execution errors to triage failures and isolate root causes.
Differentiate failures caused by translated-code defects, source or target data issues, environment instability, configuration, permissions, dependencies, orchestration, or test setup.
Write advanced SQL to validate transformations, reconcile source-to-target results, investigate row-count and aggregate differences, identify nulls/duplicates, and trace data-quality issues.
Use Python to parse logs, analyze datasets, automate investigations, build lightweight test utilities, and accelerate recurring diagnostic tasks.
Work with SHIFT outputs and migration engineering teams to reproduce and investigate translated-code failures and support rapid defect resolution.
Document defects with clear evidence, root-cause findings, ownership, impact, and recommended next actions; identify recurring patterns and improve test coverage and automation.

Core Technical Skills

Advanced SQL: complex joins, aggregations, CTEs, window functions, data reconciliation, schema/data-type analysis, and query-based troubleshooting.
Python: scripting, data manipulation, log parsing, automation, diagnostics, and test utility development.
Log & failure analysis: ability to navigate large volumes of technical logs, follow execution paths, correlate events, and identify the true failure point.
Data validation & reconciliation: source-to-target comparison, transformation validation, row counts, aggregates, schema checks, business-rule validation, and discrepancy analysis.
Databases & data pipelines: solid understanding of tables, views, stored procedures, schemas, constraints, transactions, ETL/ELT pipelines, dependencies, and scheduling/orchestration.
Cloud data platforms: experience with Snowflake strongly preferred; familiarity with Databricks and major cloud platforms is an asset.
Engineering toolchain: working knowledge of Git/GitHub, CI/CD pipelines, Linux/Unix command-line tools, APIs/JSON, and defect-management systems.
Performance troubleshooting: ability to recognize query, resource, timeout, dependency, and scalability issues that affect test execution.

What We Look For

Exceptional analytical, troubleshooting, and root-cause analysis skills; able to work methodically through ambiguous failures.
Systems thinking: understands that a failed test may originate anywhere across code, data, infrastructure, orchestration, configuration, permissions, or TESTER - and can determine which layer owns the issue.
Technical curiosity and independence: willing to dig into the evidence rather than simply escalate a failure.
Clear communication: can explain technical findings concisely to developers, data engineers, delivery teams, and client stakeholders.
Background may be in test engineering, data engineering, software engineering, or another technical discipline; diagnostic capability matters more than a traditional QA title.

What Success Looks Like

An average tester reports: “The test failed.” A strong Next Pathway Test Engineer explains why it failed, proves where the problem originated, identifies the likely owner, and provides the evidence needed to resolve it quickly.

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More about this job

Responsibilities

Execute and monitor automated and manual testing for enterprise cloud migration workloads while performing deep-dive failure triage. Analyze logs, data, and code to isolate root causes and provide evidence-based resolutions for migration defects.

Requirements

Requires advanced proficiency in SQL and Python for data validation, log parsing, and diagnostic automation. Candidates must possess strong analytical skills and experience with cloud data platforms, data pipelines, and technical troubleshooting.

Skills

SQL
Python
Cloud migration
Data validation
Failure triage
Root-cause analysis
Log analysis
Snowflake
ETL pipelines
Git
CI/CD
Linux
Unix
Data reconciliation
Performance troubleshooting
API

Visa sponsorship

Not detected in the job text

Keywords

Cloud Migration
Test Engineer
SQL
Python
Failure Triage
Root-Cause Analysis
Data Integrity
Snowflake
Databricks
ETL
ELT
Git
CI/CD
Linux
Unix
API
JSON
Data Reconciliation
Log Analysis
Performance Troubleshooting
Automation
Database
Orchestration
Migration Engineering
Software Engineering
Data Engineering
Cloud Platforms
Test Framework
Schema Analysis
Stack Traces

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