As a Senior Data Engineer, you'll play a crucial role in transforming data for financial reporting and fraud detection. Your expertise in Python and SQL will help streamline data processes from various payment networks.
In this role, you will be responsible for designing and implementing data pipelines that support various analytical functions, including financial reporting and fraud detection. You will work closely with other teams to ensure that data is accurately ingested and transformed from over 40 payment networks and internal systems. Your work will directly impact the company's ability to leverage data for operational analytics and AI initiatives.
Your day-to-day tasks will involve using Python and SQL to create efficient data workflows. You will also utilize cloud-native tools to manage and optimize data storage and processing. Collaboration with data analysts and other stakeholders will be key, as you will need to understand their requirements and ensure that the data solutions you build meet their needs.
This position is ideal for someone with a strong background in data engineering and a passion for working with large datasets. You should be comfortable with complex data environments and have a proactive approach to problem-solving. Strong communication skills will also be important, as you will need to explain technical concepts to non-technical team members.
Key requirements for this role include proficiency in Python and SQL, experience with cloud technologies, and a solid understanding of data architecture principles. If you are looking to make a significant impact in a data-driven environment, this role could be a great fit for you.
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