Location: Pune
- We are seeking a Senior Data Engineer/ Lead to lead a strategic migration of our enterprise data platform from Matillion ETL to a native Google Cloud Platform (GCP) stack. The ideal candidate is a Matillion expert who understands the "under the hood" logic of graphical ETL jobs and can translate that logic into scalable, maintainable, and cost-effective code.
You will be the bridge between our legacy systems and our future state, utilizing AI-assisted migration tools to accelerate the conversion of complex transformations into native BigQuery, Dataform, or Python-based workflows.
- Key Responsibilities
- Reverse Engineering: Deeply analyze existing Matillion Orchestration and Transformation jobs to understand business logic, dependencies, and complex iterations.
- Migration Strategy: Lead the "Extract & Translate" phase, determining whether a job should be refactored into BigQuery SQL (Dataform), Cloud Dataflow (Python), or Cloud Composer (Airflow).
- AI-Enabled Conversion:
Leverage LLMs and AI coding assistants to parse Matillion metadata (JSON/XML) and automate the generation of native SQL and Python code.
- Mentorship & Documentation: Act as the subject matter expert (SME) to explain Matillion logic to the broader GCP engineering team and document legacy rules for the new architecture.
- Validation: Design and execute data reconciliation frameworks to ensure parity between Matillion outputs and recent GCP native outputs.
- Required Experience & Skills
- Matillion Mastery: 3+ years of advanced experience with Matillion ETL (specifically Grid Variables, Iterators, and Python script components).
- Data Architecture: Strong understanding of Data Warehousing principles (Star/Snowflake Schema) and ELT vs. ETL methodologies.
- SQL Expertise: Expert-level SQL skills, including the ability to refactor complex GUI-based logic into high-performance stored procedures or views.
- Python Proficiency: Strong Python backg
📌 Matillion Lead (Pune)
🏢 Datametica
📍 Pune
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