Senior Data Engineer, Payments
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The role
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.
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