Data Integration Engineer: ETL, GCP & REST APIs

Applaudo; Buenos Aires; Presencial; ARS 3.000.000 - 5.200.000; Jornada completa

Descripción de la vacante

Applaudo is seeking an experienced Data Engineer to build and maintain ETL pipelines between Zuora REST APIs and a Google Cloud data warehouse. You will design and implement integration components in TypeScript/Node.js and Python, managing billing, subscriptions, invoices and revenue data with robust data quality controls.

You will work in an async-first distributed team, overlap with Pacific Time, and contribute to CI/CD workflows within an established architecture.

Formación

• 5+ years of professional experience in data engineering, integration development, or related roles.
• Production ETL pipelines using TypeScript/Node.js and Python.
• Strong Python experience focused on data-pipeline development.
• GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub.
• REST API integration with OAuth 2.0, pagination, error handling and retries.
• Advanced SQL and complex data warehouse schema knowledge.
• Data-transformation logic and data-quality validations.
• Pipeline monitoring, alerting, failure recovery, and operational support.
• Experience with established architectures, coding conventions, and CI/CD.
• Able to onboard independently in an existing codebase.
• Strong written English and async-first collaboration.
• Overlap with Pacific Time (10:00–14:00 PT) is available.

Responsabilidades

• 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, subscriptions, invoices, payments, and revenue data.
• Work within the existing architecture, conventions, and CI/CD workflows.
• Develop data pipelines using GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub).
• Implement pipeline monitoring, alerting, error handling, retry logic, and data-quality controls.
• Write complex SQL validation queries to verify parity between sources 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 sources and warehouse environments.
• Provide clear written updates and collaborate effectively in a distributed, async-first team.
• Participate in the Agile/Kanban workflow.

Conocimientos

Data engineering

ETL pipelines (TypeScript/Node.js)

Python data pipelines

REST API integration (OAuth 2.0)

SQL

Data transformation & quality

Monitoring & reliability

CI/CD workflows

Async collaboration

English communication

Pacific Time overlap

Herramientas

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Zuora REST APIs

ZOQL

dbt

Descripción del empleo

Applaudo is seeking an experienced Data Engineer to build and maintain ETL pipelines between Zuora REST APIs and a Google Cloud data warehouse. You will design and implement integration components in TypeScript/Node.js and Python, managing billing, subscriptions, invoices and revenue data with robust data quality controls.

You will work in an async-first distributed team, overlap with Pacific Time, and contribute to CI/CD workflows within an established architecture.