Senior Data Engineer, GCP, Data Integration

🔥 3 minutes ago

🇵🇪 Peru – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• 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 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 for 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

🎯 Requirements

• 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 ability to provide clear updates in an async-first, distributed environment • Self-directed approach to onboarding and ability to become productive within an existing codebase with minimal guidance • Working English proficiency for collaboration with US-based stakeholders and distributed teams • Professional experience working with the Zuora REST API is nice to have • Experience with ZOQL or Zuora’s billing data model, including subscriptions, invoices, and payments, is nice to have • Experience with dbt or similar data transformation frameworks is nice to have • GCP Professional Data Engineer certification is nice to have

🏖️ Benefits

• Remote work option • Opportunity to work on AI-powered solutions and scalable products • Collaborative work across design, development, cloud, data, and artificial intelligence • Learning and ownership opportunities • Distributed, async-first working environment • Agile/Kanban workflows • Professional development through work with modern technologies and AI-native transformation