Senior Data Engineer: GCP ETL & API Pipelines

Applaudo; Comisión de Fomento de Perú; Presencial; ARS 182.877.000 - 274.315.000; Jornada completa

Descripción de la vacante

Applaudo is seeking a hands-on Senior Data Engineer to design and scale reliable data pipelines across cloud environments. You will handle API integrations, data transformations, and warehouse validation using GCP services such as BigQuery and Dataflow.

You will own production ETL pipelines, collaborate with distributed teams in an async-first culture, and contribute to CI/CD practices while solving complex data challenges.

Formación

• Bachelor's degree in CS/SE/Data Eng or related field, or equivalent experience.
• 6+ years of professional experience in Data Engineering, ETL, or Data Integration.
• Hands-on with TypeScript/Node.js in production ETL or data integration environments.
• Experience with GCP data services: BigQuery, Cloud Storage, Dataflow, Pub/Sub.
• Proven REST API integration experience with OAuth 2.0, pagination, error handling, and retries.

Responsabilidades

• Build, maintain, and enhance production ETL pipelines connecting REST APIs with GCP-based data warehouses.
• Develop data integration components using TypeScript/Node.js and Python.
• Develop pipelines using GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub.
• Implement transformation logic for billing events, subscriptions, revenue data, and related data.
• Write and maintain complex SQL queries for data validation and reconciliation.
• Collaborate with architecture stakeholders to translate warehouse validation requirements into SQL checks.

Conocimientos

ETL development

SQL proficiency

Distributed systems

English communication

Async collaboration

Educación

Bachelor’s degree in CS/SE/Data Eng

Equivalent professional experience

Herramientas

TypeScript/Node.js

Python

GCP

BigQuery

Dataflow

Pub/Sub

REST APIs

CI/CD

Descripción del empleo

Applaudo is seeking a hands-on Senior Data Engineer to design and scale reliable data pipelines across cloud environments. You will handle API integrations, data transformations, and warehouse validation using GCP services such as BigQuery and Dataflow.

You will own production ETL pipelines, collaborate with distributed teams in an async-first culture, and contribute to CI/CD practices while solving complex data challenges.