Join our team as a Custom Software Engineer and contribute to developing innovative software solutions tailored to specific business needs. You will be instrumental in designing, coding, and enhancing system components using modern frameworks and agile methodologies. Your work will ensure the delivery of scalable and high-performing solutions that drive project success and meet client objectives.

This role offers an exciting opportunity to work with cutting-edge technologies and make a significant impact. Embrace a collaborative environment where your contributions are valued and your skills in Python and cloud platforms will be leveraged to their full potential.

Lead and drive the migration of legacy data preparation jobs to a modern Python-based data engineering framework. Analyze and re-engineer existing data scripts and workflows into scalable Python pipelines. Collaborate with cross-functional teams to validate and test converted workflows, ensuring data quality and consistency. Optimize the performance of new Python workflows and integrate them with Google Cloud Platforms. Document migration processes, coding standards, and pipeline configurations thoroughly.

A minimum of 2-5 years of professional experience is required, with at least 3 years specifically in Python programming. Possess strong proficiency in Python, including experience with Pandas and data frames. Demonstrate hands-on experience with SQL on the GCP platform. Familiarity with modern Python development frameworks and libraries is essential. Experience with version control systems, particularly Git, is expected. Completion of 15 years of full-time education is a mandatory requirement.