Python Data engineer

Overview In this role you will design and maintain scalable data pipelines to handle growing data volumes and complexity. You will work with structured and unstructured data, implement ETL/ELT processes, and ensure data quality and governance. You will collaborate with product owners and stakeholders to gather requirements and integrate data solutions with vendor products and APIs. Your work will support fraud-related technologies and data-driven decision making within a hybrid, cross-functional environment. ResponsibilitiesDevelop and maintain scalable data pipelines and build API integrations to support increasing data volumePerform ELT and ETL processes and manage data warehousing techniquesProcess structured and unstructured (blob) data and define/modify data structuresSupport data governance, quality, and discovery initiativesGather data requirements from product owners and stakeholdersAssist with vendor product evaluations, configuration, and integrationProvide production support for existing vendor and in-house technologies Key requirementsExperience with fraud-related technologies strongly preferredEtl/elt processesScripting, SQL & scriptingPython and SparkData processing and pipeline orchestrationKnowledge of data warehousing techniques and file storage technologiesExperience with API integrations and data integrationProduction support for vendor and in-house technologiesstakeholder communicationcross-functional collaborationPythonSparkSQLETL/ELT