Summary:

Client is seeking an experienced ETL Migration Engineer to support large-scale modernization of enterprise data integration platforms.
This role focuses on migrating legacy Informatica ETL workflows to modern cloud-native and open-source solutions such as SnapLogic, Airflow, dbt, and similar technologies.
The ideal candidate will have strong hands-on Informatica experience, proven success in ETL migration initiatives, and expertise in cloud infrastructure, automation, and DevOps technologies.

Responsibilities:

Migrate legacy Informatica ETL workflows to modern ETL platforms such as SnapLogic, Airflow, dbt, or other cloud-native solutions.
Analyze existing ETL architectures and translate legacy workflows into target-platform implementations.
Develop migration strategies, documentation, and reusable migration artifacts.
Partner with architecture, data engineering, and business teams to plan migration priorities and execution.
Utilize AI-assisted development tools (GitHub Copilot, DevAssist, etc.) to improve migration efficiency.
Automate deployment and operational processes using Python and scripting.
Support CI/CD pipelines, release management, and production issue resolution.
Work within cloud-native environments leveraging Kubernetes and serverless architectures.

Strong experience migrating ETL solutions from one ETL platform to another.
Hands-on Informatica development and/or administration experience.
Experience with modern ETL tools such as SnapLogic, Airflow, dbt, or similar platforms.
Strong knowledge of AWS and Azure cloud environments.
Experience with Kubernetes.
Python scripting and automation expertise.
DevOps experience with Jenkins, Terraform, or OpenTofu.
Experience working with serverless architectures.
Familiarity with AI-assisted development tools such as GitHub Copilot or DevAssist.
Strong communication and stakeholder management skills.