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Matillion Lead

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Hybrid

Matillion Lead

Datametica

Matillion Lead

Skills

Google Cloud PlatformSQL QueriesPythonSnowflakeAIApache Airflow

3 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

10 August 2026

What they need


Matallion Data Lead

Experience : 7+ Years

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 new 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 background for handling complex data logic and building orchestration scripts.

  • AI Prompting/Automation: Experience (or high interest) in using Generative AI tools to automate code conversion and documentation tasks.

  • Preferred (Nice-to-Have) Skills

  • GCP Experience: Familiarity with BigQuery, Dataform, or Airflow (we are willing to train the right Matillion expert on the GCP ecosystem).

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

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