A Python developer role centered on data migration: writing ETL scripts, moving data between legacy and modern databases, cloud platforms, and third-party systems, and validating data integrity and performance post-migration. Core stack is Python (Pandas, SQLAlchemy), relational databases, ETL tools, and cloud services like AWS/Azure/GCP.
We are seeking a skilled Python Developer with hands-on experience in data migration to join our dynamic team. You will be responsible for designing, developing, and executing data migration strategies across legacy and modern systems, ensuring data integrity, performance, and scalability.
Key Responsibilities:
Develop and maintain Python scripts for data extraction, transformation, and loading (ETL)
Design and implement data migration workflows between databases, cloud platforms, and third-party systems
Collaborate with data architects and business analysts to understand migration requirements
Optimize migration processes for performance and reliability
Conduct data validation, reconciliation, and quality assurance post-migration
Troubleshoot and resolve migration-related issues
Document migration procedures and maintain technical documentation
Required Skills & Qualifications:
Strong proficiency in Python (including libraries like Pandas, SQLAlchemy, etc.)
Proven experience in data migration projects (on-prem to cloud, legacy to modern DBs, etc.)
Solid understanding of relational databases (e.g., PostgreSQL, MySQL, Oracle)
Experience with ETL tools and frameworks
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
Knowledge of data governance, security, and compliance standards
Excellent problem-solving and communication skills