14 дней назад
Senior Data Engineer (GCP & Data Integration)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (GCP & Data Integration) (GCP, Python, TypeScript/Node.js): Building reliable production ETL pipelines and REST API integrations for GCP-based data warehouses with an accent on data transformation, validation, and pipeline reliability. Focus on developing cloud data pipelines, implementing billing and subscription data flows, and solving complex reconciliation, data quality, and integration issues.
Location: Lima, Peru
Company
designs, builds, and scales AI-powered solutions across cloud, data, software development, and artificial intelligence.
What you will do
- Build, maintain, and enhance production ETL pipelines connecting REST APIs with GCP data warehouse environments.
- Develop data integration components and pipelines using TypeScript/Node.js, Python, BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
- Implement transformation logic for billing events, subscription lifecycle data, revenue data, and related warehouse flows.
- Develop reliable REST API integrations with authentication, pagination, error handling, retries, monitoring, and data quality checks.
- Write complex SQL queries for source-to-warehouse validation, reconciliation, parity checks, and warehouse-level requirements.
- Investigate pipeline and data quality issues, follow established architecture and CI/CD practices, and communicate progress in an async-first distributed team.
Requirements
- 6+ years of experience in Data Engineering, ETL, Data Integration, or a related field.
- Strong production experience with TypeScript/Node.js and Python.
- Hands-on experience building production data pipelines with GCP services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
- Experience with REST API integrations, OAuth 2.0, pagination, retry logic, and advanced SQL for validation and reconciliation.
- Ability to work within existing architectures, coding conventions, CI/CD workflows, and production codebases with minimal guidance.
- Working English proficiency is required for collaboration with US-based stakeholders and distributed teams.
Nice to have
- Experience with the Zuora REST API, ZOQL, or Zuora billing data models.
- Experience with dbt or similar data transformation frameworks.
- GCP Professional Data Engineer certification.
Culture & Benefits
- Work in an AI-native organization focused on scalable business solutions.
- Collaborate across design, development, cloud, data, and artificial intelligence disciplines.
- Operate in a high-performance culture centered on excellence, teamwork, respect, transparency, and efficient communication.
- Participate in an async-first distributed team and Agile/Kanban workflows.
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