We are seeking a GCP Data Engineer to support a large-scale healthcare data platform environment. This role will focus on building and maintaining data pipelines, supporting data integration efforts, and helping scale cloud-based data infrastructure within Google Cloud Platform (GCP).

The ideal candidate will have hands-on experience developing and managing data pipelines using Apache Airflow and Google Cloud Composer, along with a strong foundation in modern data engineering practices within GCP.

This role will work closely with data engineering, analytics, and platform teams to support reliable, scalable data processing and delivery across the organization.

Key Responsibilities

Design, develop, and maintain scalable data pipelines within Google Cloud Platform
Build and orchestrate workflows using Apache Airflow and Cloud Composer
Develop data ingestion and transformation pipelines to support analytics and reporting needs
Work with large datasets across structured and semi-structured sources
Collaborate with data engineers, analysts, and platform teams to support data platform initiatives
Ensure data pipelines are reliable, efficient, and scalable
Troubleshoot and resolve data pipeline issues in production environments
Support ongoing improvements to data architecture and pipeline performance

Required Qualifications

Hands-on experience building data pipelines within Google Cloud Platform (GCP)
Strong experience with Apache Airflow and Google Cloud Composer
Experience with Python and SQL for data engineering tasks
Experience working with large-scale data processing and ETL/ELT pipelines
Familiarity with cloud-based data storage and processing solutions
Experience supporting enterprise data environments

Preferred Qualifications

Experience with BigQuery
Experience working with modern data pipeline architectures
Familiarity with CI/CD pipelines for data workflows
Experience working in healthcare or highly regulated environments
Experience supporting analytics or enterprise data platforms

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