Senior Data Engineer — GCP, API & ETL Pipelines

Applaudo; Buenos Aires; Presencial; ARS 136.687.000 - 197.436.000; Jornada completa

Descripción de la vacante

Applaudo is seeking a hands-on Senior Data Engineer to design, build, and operate scalable data pipelines across cloud environments. You will own end-to-end ETL, API integrations, and warehouse validation within existing architecture and CI/CD practices.

Strong communication in an async, distributed team is essential, along with practical experience in data reliability and production engineering. You will join a cross-functional team that collaborates with US-based stakeholders, leveraging

Formación

• 6+ years of Data Engineering, ETL, or Data Integration experience.
• Strong production experience with TypeScript/Node.js and Python.
• Hands-on experience building data pipelines with GCP.
• REST API integration and advanced SQL experience.
• Experience with production data pipelines and existing architectures.

Responsabilidades

• Build, maintain, and enhance production ETL pipelines connecting REST APIs with GCP-based data warehouse environments.
• Develop and maintain data integration components using TypeScript/Node.js and Python within an existing pipeline architecture.
• Develop data pipelines using GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Implement transformation logic for billing events, subscription lifecycle data, revenue data, and other data flowing into the GCP data warehouse.
• Develop and maintain REST API integrations, including authentication, pagination, error handling, retries, and reliable data extraction.
• Support pipeline monitoring and reliability through alerting, logging, error handling, retry mechanisms, and data quality checks.
• Write complex SQL queries to support source-to-warehouse data validation, reconciliation, and parity checks.
• Collaborate with architecture stakeholders on warehouse-level validation requirements and translate them into SQL checks and reconciliation logic.
• Investigate and resolve data pipeline, integration, transformation, and data quality issues.
• Follow established coding standards, architecture patterns, CI/CD workflows, and development practices within the existing codebase.
• Collaborate with Data Engineering leadership for technical direction while maintaining ownership of assigned development work.
• Provide clear written status updates, surface blockers early, and communicate progress effectively within an async-first distributed team.
• Contribute to Agile/Kanban workflows while remaining focused on hands-on engineering execution.

Conocimientos

Data engineering

ETL design

Data integration

TypeScript/Node.js

SQL proficiency

Cloud platforms

Troubleshooting

Communication (async)

Python

Educación

Bachelor’s degree in CS/related field

Herramientas

GCP (BigQuery, Dataflow, Pub/Sub)

Zuora REST API

dbt

Descripción del empleo

Applaudo is seeking a hands-on Senior Data Engineer to design, build, and operate scalable data pipelines across cloud environments. You will own end-to-end ETL, API integrations, and warehouse validation within existing architecture and CI/CD practices.

Strong communication in an async, distributed team is essential, along with practical experience in data reliability and production engineering. You will join a cross-functional team that collaborates with US-based stakeholders, leveraging