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Senior Data Engineer (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Data Engineer (GCP/SQL): Designing and implementing scalable data models and ETL pipelines for a global payments platform with an accent on data consistency, SSOT, and governance. Focus on building robust batch and streaming pipelines, translating business needs into structured models, and integrating data with AI capabilities.

Location: Must be based in San Francisco (Onsite)

Company

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.

What you will do

  • Design and implement scalable data models (star, snowflake) to support business intelligence and machine learning.
  • Build and maintain batch and streaming ETL pipelines from ingestion to transformation and delivery.
  • Ensure and promote a Single Source of Truth (SSOT) across data layers and pipelines.
  • Contribute to data governance strategies, including data quality, stewardship, and privacy.
  • Collaborate with Data Platform Engineers and Product Managers to resolve data issues and optimize workflows.
  • Explore and implement practical integrations between data engineering and AI.

Requirements

  • Bachelor’s degree or higher in Computer Science, Information Systems, Finance, Maths, or a related field.
  • Minimum 5 years of proven experience designing ETL pipelines using tools like Informatica, Talend, or Apache NiFi.
  • Proficiency in SQL and database management systems (MySQL, PostgreSQL, Oracle).
  • Experience with Google Cloud Platform (GCP), specifically BigQuery and Airflow.
  • Must be located in San Francisco to work from the collaborative open office space.
  • Strong communication skills for effective collaboration with globally distributed teams.

Nice to have

  • Experience within the financial industry, payment systems, or fintech platforms.
  • Knowledge of data governance practices and financial industry regulatory requirements.
  • Proficiency in scripting languages such as Python or R for automation and analysis.
  • Professional certifications in data management or related technologies.

Culture & Benefits

  • Competitive salary and valuable equity within the company.
  • Collaborative open office environment with a fully stocked kitchen.
  • Regular team-building events.
  • Opportunity to work in a rapidly growing global fintech with creative freedom.

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