Data Integration and Governance Analyst

World Business Lenders, LLC

. Improve data pipelines through automation and quality checks to ensure accuracy, consistency, and reliability throughout the data processing workflow .

Posted 10/14/2026contractRemote • Turkey, Argentina, Costa Rica, Guatemala, Pakistan, ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining automated data pipelines, with strong skills in SQL and Python for data workflows. Proficient in data migration, quality checks, and orchestration to ensure reliable data processing and system performance.

Highest-signal resume keywords

Data Pipeline AutomationSQL Data ModelingPython Workflow DevelopmentETL/ELT Process ManagementCloud-Based Data Platforms

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonETLELTData MigrationData Quality ChecksData ReconciliationData WarehousingPipeline OrchestrationVersion Control

Soft Skills

CommunicationProblem-Solving

Tools & Technologies

GitGitHubCloud Platforms

Industry Keywords

Data EngineeringData ProcessingData IntegrityWorkflow ReliabilitySchema Mapping

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Improve data pipelines through automation and quality checks to ensure accuracy, consistency, and reliability throughout the data processing workflow
Reduce manual intervention and minimize data-processing errors
Migrate legacy systems to new systems through analysis, seamless data transfer, and integration
Enhance system performance and maintain continuity without disrupting existing operations

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is preferred, with equivalent hands-on experience valued
4 to 7 years of experience as a Data Engineer
Experience working with cloud-based data platforms and environments
Strong SQL skills with data modeling experience for data warehouses
Strong Python skills, especially notebooks, for building and maintaining data workflows
Experience developing and maintaining ETL/ELT processes
Experience working with data warehouses used by reporting/business teams
Experience using Git/GitHub for version control in collaborative environments
Understanding of pipeline orchestration and dependency management
Understanding of data quality, validation, and monitoring fundamentals
Hands-on data migration experience, including schema mapping and transformation
Strong data reconciliation and validation skills
Experience with data quality checks, integrity validation, and issue resolution
Experience with backfills and historical data handling
Experience with cutover planning and execution
Experience building and maintaining automated data pipelines
Experience with scheduling, orchestration, and failure handling
Experience with workflow reliability, monitoring, and repeatability
Excellent command of English, spoken and written
Must be available Monday–Friday, 9:00 AM–6:00 PM Eastern Time
Must have a stable internet connection and professional remote working setup
Resume must be submitted in English

Benefits

Comp & perks

Paid time off (PTO)
Fully remote work environment
Compensation in USD