Senior Data Engineer, Payments
仕事内容
Own the design, build, and operation of scalable data pipelines for regulatory and payments data in a high-visibility domain.
Develop data models and pipelines using SparkSQL, Scala, and Python to ingest, validate, and deliver large datasets to government authorities and internal tools.
Ensure data quality, accuracy, and reliability across end-to-end data flows with emphasis on tax, payments, and legal compliance.
Collaborate with Data Scientists, Product Managers, and Software Engineers to translate requirements into robust data solutions and enable business insights.
Leverage ETL schedulers like Apache Airflow and work with relational and columnar databases (PostgreSQL, MySQL, Redshift, BigQuery, ClickHouse) and data platforms (Spark, Kafka, Flink, HBase).
Contribute to data engineering standards, tooling, and best practices to improve quality, scalability, and productivity.
Develop data models and pipelines using SparkSQL, Scala, and Python to ingest, validate, and deliver large datasets to government authorities and internal tools.
Ensure data quality, accuracy, and reliability across end-to-end data flows with emphasis on tax, payments, and legal compliance.
Collaborate with Data Scientists, Product Managers, and Software Engineers to translate requirements into robust data solutions and enable business insights.
Leverage ETL schedulers like Apache Airflow and work with relational and columnar databases (PostgreSQL, MySQL, Redshift, BigQuery, ClickHouse) and data platforms (Spark, Kafka, Flink, HBase).
Contribute to data engineering standards, tooling, and best practices to improve quality, scalability, and productivity.
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