We are seeking a Data Engineer to spearhead the strategic migration of our enterprise data platform from Matillion ETL to a code-native architecture. You will be the bridge between our legacy systems and a modernized future state, specializing in translating graphical ETL logic into scalable, maintainable code.

Key Responsibilities :

- Reverse Engineering : Deeply analyze existing Matillion Orchestration and Transformation jobs to extract business logic, dependencies, and complex iterations.

- Migration Strategy : Lead the "Extract & Translate" phase, determining whether legacy jobs should be refactored into SQL-based ELT, Python-based workflows, or modern orchestration tools.

- Validation : Design and execute data reconciliation frameworks to ensure 100% parity between legacy outputs and new code-native results.

Required Experience & Skills :

- Matillion Mastery : 3+ years of advanced experience with Matillion ETL

- Data Architecture : Strong understanding of Data Warehousing principles (Star/Snowflake Schema) and ELT vs. ETL methodologies.

- SQL Expertise : Good SQL skills

Preferred (Nice-to-Have) Skills :

- Metadata Engineering : Experience parsing XML/JSON job definitions to create automated documentation or migration scripts.