What You’ll Do 🎯

• Design and build Python APIs and backend services that power internal and third-party integrations
• Develop and operate end-to-end data pipelines, from ingestion to persistence across GCP services
• Build high-frequency, event-driven systems for real-time and asynchronous data processing
• Apply strong data modeling and database design principles for structured and semi-structured data
• Write clean, testable, production-grade code with strong coverage and CI/CD discipline
• Drive observability, performance, and reliability across backend and data systems
• Own services end-to-end — from schema and API design to deployment and monitoring
• Use modern cloud and automation practices (IaC tools like Terraform, containers, orchestration)
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What You’ll Bring 💡

• Strong experience in backend or data engineering
• Strong skills in Python and SQL
• Hands-on experience with cloud platforms (AWS or GCP) and data warehouse design (using BigQuery or Snowflake)
• Solid engineering discipline — CI/CD, testing, microservices, and end-to-end ownership
• Understanding of data modeling, schema design, and performance optimization
• Familiarity with orchestration tools (Airflow, Dagster) and observability practices
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Nice to Have

• Experience with API integrations (CRM, attribution, or marketing systems)
• Exposure to containerization (Docker, Kubernetes)
• Knowledge of data testing frameworks or event-driven architectures
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