Senior Data Engineer: GCP Pipelines & API Integrations

Applaudo; Bogotá ciudad; Presencial; COP 200.880.000 - 312.480.000; Jornada completa

Descripción de la vacante

Applaudo is seeking a hands-on Senior Data Engineer in Bogotá to design and operate reliable, scalable data pipelines across cloud environments, spanning API integrations, transformations, and warehouse validation. You will own end-to-end data flows and work across production systems.

You will join established architectures, follow CI/CD practices, and communicate clearly in distributed teams. Strong TypeScript/Node.js, Python, and SQL skills plus GCP services are essential for building and

Formación

• 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.
• 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.

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 API integrations

Data pipelines

Cloud architectures

Educación

Bachelor's degree in CS or related field

Herramientas

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Descripción del empleo

Applaudo is seeking a hands-on Senior Data Engineer in Bogotá to design and operate reliable, scalable data pipelines across cloud environments, spanning API integrations, transformations, and warehouse validation. You will own end-to-end data flows and work across production systems.

You will join established architectures, follow CI/CD practices, and communicate clearly in distributed teams. Strong TypeScript/Node.js, Python, and SQL skills plus GCP services are essential for building and