Data Migration Specialist

ClearRisk Inc.

. Participate in requirements gathering and define source-to-target data mapping specifications for customer integration and migration projects .

Posted 9/28/2026full-timeSt. John's • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data mapping, quality verification, and integration processes, with a strong focus on data accuracy and the ability to collaborate effectively with technical teams. Proficient in using ETL tools and analyzing data models to ensure successful customer integration and migration projects.

Highest-signal resume keywords

Data Mapping SpecificationsETL ToolingData Quality VerificationExcel FluencyData-Focused Coding (Python, SQL)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MappingData Quality AssuranceETL ProcessesData AnalysisData ModelingPythonSQL

Soft Skills

Attention to DetailCollaborationProblem-SolvingCommunication

Tools & Technologies

ClearRisk ETL ToolingAI-Assisted Tooling

Industry Keywords

InsuranceRisk ManagementRegulated Environments

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Participate in requirements gathering and define source-to-target data mapping specifications for customer integration and migration projects
Partner with the Business Analyst and other Implementation team members
Own quality verification of data mappings and transformations before and after loading
Ensure data lands correctly, cleanly, and reflects the customer's actual business need
Execute standard migrations and integrations using ClearRisk's internal ETL tooling
Partner with developers on complex, custom-coded integration builds
Validate that implemented mappings match intended specifications and output data is correct
Document mapping decisions and transformation logic clearly
Flag data quality issues, mapping ambiguities, and edge cases for resolution

Requirements

What you’ll need

Strong Excel/spreadsheet fluency
Comfort with ETL-style tooling
Demonstrated obsession with data accuracy/quality
Ability to understand and question business context
Comfortable working closely with developers without being one
Ability to read a data model, ask good questions, and evaluate output without writing code
Data-focused coding experience (Python, SQL, etc.) would be an advantage
Experience with AI-assisted tooling would be beneficial
Experience handling sensitive data in regulated environments would be a bonus
Familiarity with insurance and risk management would be a plus
Driven individual motivated to build their career

Benefits

Comp & perks

Competitive salary
Benefits package
Full-time permanent position