AI-Driven Data Migration & SQL Developer

Embrace Software Inc.

United States

Remote

USD 90,000 - 130,000

Full time

8 days ago

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Job summary

Embrace Software Inc. is seeking a hands-on Data Migration & Integration Developer to design, develop, and execute data migration solutions across diverse source systems into enterprise applications.

You will work with PostgreSQL and legacy platforms, applying SQL, Python, and AI-assisted tools to accelerate schema analysis, transformation development, and documentation. The role involves analyzing unfamiliar database schemas, creating reliable migration transformations, and collaborating with

Qualifications

  • Significant hands-on data migration/ETL experience.
  • Strong SQL (complex joins, stored procedures) and data mapping skills.
  • Experience with PostgreSQL and multiple other DB systems.
  • Proficiency with Python for transformation tasks.
  • Familiarity with AI-assisted coding tools and code review practices.

Responsibilities

  • Analyze source schemas from relational/legacy databases and map to target schemas.
  • Develop SQL scripts, ETL processes, and migration utilities.
  • Create AI-assisted migration workflows and reusable components.
  • Validate migrated data with source records and business rules.
  • Troubleshoot migrations, optimize performance, and ensure data quality.
  • Document mappings, logic, and validation procedures.

Skills

SQL
PostgreSQL
Data migration
ETL
Python
SQL Server
MySQL
AI tools
GitHub Copilot
ChatGPT
Claude
ODBC
JDBC
ADS

Tools

ADS
ChatGPT
Claude
GitHub Copilot
ODBC
JDBC

Job description

Embrace Software Inc. is seeking a hands-on Data Migration & Integration Developer to design, develop, and execute data migration solutions across diverse source systems into enterprise applications.

You will work with PostgreSQL and legacy platforms, applying SQL, Python, and AI-assisted tools to accelerate schema analysis, transformation development, and documentation. The role involves analyzing unfamiliar database schemas, creating reliable migration transformations, and collaborating with

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