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Applaudo

Data Engineer – Temporary

Applaudo

. Build and maintain ETL pipelines between Zuora REST APIs and a GCP data warehouse .

Posted 10/27/2026full-timeRemote • PeruMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and maintaining ETL pipelines, integrating REST APIs, and developing data transformation logic using TypeScript, Node.js, and Python. Proficient in utilizing GCP services such as BigQuery and Cloud Storage while ensuring data quality and operational support.

Highest-signal resume keywords
ETL Pipeline DevelopmentTypeScript/Node.js IntegrationGCP Services ProficiencyAdvanced SQL SkillsData Quality Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ETL DevelopmentData IntegrationTypeScriptNode.jsPythonSQLData Transformation LogicPipeline MonitoringREST API IntegrationData Quality Controls
Soft Skills
Written CommunicationAsync CollaborationProblem-Solving
Tools & Technologies
GCPBigQueryCloud StorageDataflowPub/SubCI/CD WorkflowsDbt
Certifications & Qualifications
GCP Professional Data Engineer
Industry Keywords
Zuora REST APIsBilling Object ModelData WarehouseAgileKanban

Tech Stack

Tools & technologies
BigQueryCloudETLGoogle Cloud PlatformJavaScriptNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact
  • Build and maintain ETL pipelines between Zuora REST APIs and a GCP data warehouse
  • Develop and maintain integration components using TypeScript/Node.js and Python
  • Manage transformation logic for billing events, subscription lifecycles, invoices, payments, and revenue data
  • Work within existing architecture, development patterns, conventions, and CI/CD workflows
  • Develop data pipelines using BigQuery, Cloud Storage, Dataflow, and Pub/Sub
  • Implement pipeline monitoring, alerting, error handling, retry logic, and data-quality controls
  • Write complex SQL validation queries to verify data parity between source data and warehouse tables
  • Collaborate with the Business Architect to implement data-validation requirements
  • Investigate pipeline failures, data discrepancies, and integration issues
  • Support accurate and reliable data movement across source systems and warehouse environments
  • Provide clear written updates and collaborate effectively within a distributed, async-first team
  • Participate in the established Agile/Kanban workflow

Requirements

What you’ll need
  • 5+ years of professional experience in data engineering, integration development, or related roles
  • Production experience building ETL or data-integration pipelines using TypeScript and Node.js
  • Strong Python experience focused on data-pipeline development
  • Hands-on experience with GCP services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub
  • Experience integrating REST APIs using OAuth 2.0, pagination, error handling, and retry mechanisms
  • Advanced SQL skills and experience working with complex data warehouse schemas
  • Experience developing data-transformation logic and data-quality validations
  • Understanding of pipeline monitoring, alerting, failure recovery, and operational support
  • Experience working within established architectures, coding conventions, and CI/CD workflows
  • Ability to onboard independently and become productive within an existing codebase
  • Strong written communication skills and an async-first collaboration style
  • Working English proficiency for daily collaboration with an international team
  • Availability to overlap with Pacific Time, primarily between 10:00 a.m. and 2:00 p.m. PT
  • Experience working with Zuora REST APIs and ZOQL is a plus
  • Knowledge of the Zuora billing object model is a plus
  • Experience using dbt or similar data-transformation frameworks is a plus
  • GCP Professional Data Engineer certification is a plus

Benefits

Comp & perks
  • Remote work availability
  • Full-time employment
  • Opportunity to work with modern AI-powered solutions and scalable products
  • Distributed, async-first work environment
  • Learning and professional growth opportunities
  • Collaboration across design, development, cloud, data, and artificial intelligence
  • Established Agile/Kanban workflow