As a Senior Data Engineer, you'll play a crucial role in enhancing data systems and processes. Your expertise in Python and SQL will help improve data reliability and efficiency across various payment networks.
In this role, you'll be responsible for improving the reliability, efficiency, and quality of data systems. Working closely with a Data Architect, you'll determine the best approaches to ingest and transform data from over 40 payment networks and various internal systems. Your day-to-day tasks will involve using Python and SQL to develop robust data pipelines and ensure that data is accurate and accessible.
You will also be expected to identify areas for improvement in existing data processes and implement solutions that enhance overall data quality. This position is ideal for someone who enjoys problem-solving and has a strong background in data engineering practices. You will collaborate with other team members to ensure that data solutions align with business needs and technical requirements.
Key responsibilities include: • Developing and maintaining data pipelines using Python and SQL • Collaborating with the Data Architect to design data models • Ensuring data quality and reliability across systems • Identifying and implementing improvements to data processes
To succeed in this role, you should have at least five years of experience in data engineering, with a strong focus on Python and SQL. Familiarity with cloud native tools is essential, as is a commitment to improving data quality and reliability. If you are passionate about data and enjoy working in a collaborative environment, this position could be a great fit for you.
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