Responsibilities

• Design, build, maintain, and optimize scalable data pipelines and solutions within Google Cloud Platform (GCP)

• Support ongoing maintenance and improvement of a GCP-based data platform, ensuring reliability and performance

• Analyze, troubleshoot, and stabilize existing data jobs and pipelines, improving efficiency and scalability

• Lead lift-and-shift migrations from legacy cloud environments to modern GCP architecture

• Modernize and refactor legacy Python and SQL codebases, establishing standardized development practices

• Develop, maintain, and deploy Python scripts for ETL, data processing, and automation

• Write and optimize complex SQL queries across platforms such as BigQuery and Snowflake

• Build and enhance applications and data products to support business and analytics needs

• Integrate with and manage data from third-party APIs

• Support and drive GitHub-based de...