Data Conversion Engineer I - Remote

Overview

As a Data Conversion Engineer I at SpryPoint, you will support the transformation and migration of utility billing data from legacy systems into a modern platform, playing a key role in data engineering processes.

In Short

• Lead and manage ETL migration processes across multiple projects.
• Develop and maintain ETL scripts using Python and SQL.
• Enhance data conversion quality through feedback-driven improvements.
• Conduct analysis of source database schemas for successful data extraction.
• Collaborate with the Client Experience team for seamless data integration.
• Establish best practices and documentation for data migration processes.
• Participate in daily standups and weekly review sessions.
• Contribute to process improvements in data engineering tasks.

Requirements

• Experience with Python and the pandas module.
• Development experience with SQL and relational databases.
• Knowledge of data migration and ETL processes.
• Understanding of system design and analysis.
• Creative problem-solving skills and enjoyment of puzzles.

Benefits

• Work in a collaborative and iterative environment.
• Opportunities for professional growth in data engineering.
• Be part of a recognized leader in cloud-based solutions for utilities.