Senior Data Engineer (GCP & Data Integration)

Applaudo Studios; Ventanilla; Presencial; PEN 120.000 - 180.000; Jornada completa

Descripción de la vacante

Applaudo Studios in Peru is seeking a hands-on Senior Data Engineer to design, build, and operate reliable, scalable ETL pipelines across cloud environments. You will own critical data integrations, collaborating with distributed teams to ensure data quality and production reliability.

The ideal candidate has 6+ years in data engineering, strong TypeScript/Node.js and Python production experience, and deep knowledge of GCP data services (BigQuery, Dataflow, Pub/Sub).

Formación

• 6+ years of professional experience in Data Engineering, ETL or Data Integration.
• Experience with TypeScript/Node.js in production ETL or data integration.
• Strong Python experience developing production data pipelines.
• Hands-on with GCP data services: BigQuery, Cloud Storage, Dataflow, Pub/Sub.
• REST API integrations with OAuth 2.0, pagination, error handling and retries.
• Advanced SQL skills for warehouse data validation and reconciliation.
• Strong English communication for async distributed teams.

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

TypeScript/Node.js

Python

SQL

REST APIs

Data pipelines

GCP data services

Educación

Bachelor’s degree in CS/SE/Data Eng

Herramientas

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Descripción del empleo

About You

You are a hands-on Senior Data Engineer who enjoys building reliable, scalable data pipelines and integrations across cloud environments. You are comfortable working across different layers of the data ecosystem, from API integrations and transformation logic to cloud-based pipelines and warehouse validation, and you bring the technical depth needed to troubleshoot issues across the full data flow.

You are comfortable joining established environments, understanding existing architecture and coding patterns, and becoming productive without requiring extensive guidance. You take ownership of your work, communicate clearly in distributed teams, and bring a thoughtful, detail-oriented approach to data reliability, integration challenges, and production engineering.

You Bring to Applaudo the Following Competencies:

• Bachelor’s Degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field is desired, or equivalent professional experience.
• 6+ years of professional experience in Data Engineering, ETL, Data Integration, or a closely related field.
• Strong hands-on experience with TypeScript/Node.js in production ETL or data integration environments.
• Strong Python experience developing production data pipelines using Dataflow, Airflow, or Cloud Composer.
• Hands-on experience with GCP data services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Proven experience building and maintaining REST API integrations, including OAuth 2.0 authentication, pagination, error handling, and retry logic.
• Advanced SQL skills, including complex queries across warehouse schemas for data validation, reconciliation, and analysis.
• Experience working with data transformation logic and production data pipelines.
• Ability to understand and work within an existing architecture, following established coding patterns, conventions, and CI/CD workflows.
• Strong troubleshooting and problem-solving skills across data pipelines, integrations, and cloud environments.
• Strong written communication skills and the ability to provide clear updates in an async-first, distributed environment.
• Self-directed approach to onboarding, with the ability to become productive within an existing codebase with minimal guidance.
• Working English proficiency for collaboration with US-based stakeholders and distributed teams.

Nice to Have:

• Professional experience working with the Zuora REST API.
• Experience with ZOQL or Zuora’s billing data model, including subscriptions, invoices, and payments.
• Experience with dbt or similar data transformation frameworks.
• GCP Professional Data Engineer certification.

You Will Be Accountable for the Following Responsibilities:

• 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.

• 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 working with production data pipelines and existing architectures.
• English proficiency.

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values:Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudois a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.