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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining ETL pipelines and data integration components using TypeScript/Node.js and Python within GCP environments. Proficient in SQL for data validation and reconciliation, with strong problem-solving skills in cloud data services.
Highest-signal resume keywords
ETL Pipeline DevelopmentTypeScript/Node.jsPython Data PipelinesGCP Data ServicesAdvanced SQL Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETLData IntegrationTypeScriptNode.jsPythonBigQueryCloud StorageDataflowSQLREST API Integration
Soft Skills
Problem-SolvingWritten CommunicationSelf-Directed
Tools & Technologies
GCPCloud ComposerAirflowPub/SubCI/CD
Certifications & Qualifications
GCP Professional Data Engineer
Industry Keywords
Data EngineeringData TransformationBilling Data ModelZuora REST APIAgileKanban
Tech Stack
Tools & technologiesAirflowBigQueryCloudETLGoogle Cloud PlatformJavaScriptNode.jsPythonSQLTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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