Senior Data Engineer, Payments
职位介绍
Design, build, and operate scalable data pipelines ingesting data from diverse sources to support Payments, Tax, and Legal compliance.
Develop data models and warehouse schemas to enable fast analytics and ensure data quality across regulatory datasets.
Implement Spark-based pipelines (SparkSQL) and Spark/Scala or Python tooling, orchestrated by Airflow.
Collaborate with Data Scientists, Product Managers, and Software Engineers to translate business requirements into robust data solutions.
Contribute to standards, tooling, and best practices to improve the broader Data Engineering community.
Operate in a fast-paced, scalable environment with a focus on accuracy, reliability, and governance for regulatory data.
Develop data models and warehouse schemas to enable fast analytics and ensure data quality across regulatory datasets.
Implement Spark-based pipelines (SparkSQL) and Spark/Scala or Python tooling, orchestrated by Airflow.
Collaborate with Data Scientists, Product Managers, and Software Engineers to translate business requirements into robust data solutions.
Contribute to standards, tooling, and best practices to improve the broader Data Engineering community.
Operate in a fast-paced, scalable environment with a focus on accuracy, reliability, and governance for regulatory data.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录相似职位
其他可能适合您的职位。