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.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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