• Design and implement ETL processes using IBM Cloud Pak for Data (CP4D). • Collaborate with data architects and analysts to understand data requirements and translate them into technical specifications. • Develop and optimize data pipelines for efficient data extraction, transformation, and loading. • Ensure data quality and integrity through rigorous testing and validation procedures. • Monitor and troubleshoot ETL processes to ensure smooth operations and resolve any issues promptly. • Document technical designs, processes, and procedures for future reference and knowledge sharing. • Stay updated with the latest industry trends and technologies to continuously improve data integration solutions. • Migrate/redevelop the application to Google Cloud.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities - Create functional black box tests for large codebases in various source languages - Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms - Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards - Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities - Create functional black box tests for large codebases in various source languages - Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms - Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards - Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities - Create functional black box tests for large codebases in various source languages - Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms - Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards - Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality