About Position:
We are hiring a GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Big Query, and Matillion to design, develop, and optimize enterprise-scale cloud data solutions. The ideal candidate will be responsible for building scalable ETL/ELT pipelines, implementing modern data transformation frameworks, and delivering high-quality data platforms that support business and healthcare analytics requirements.
- Role: GCP Data Engineer
- Location: All Persistent Location
- Experience: 6 to 12 years
- Job Type: Full time Employment

What You'll Do:
- Design, develop, and optimize cloud-native data platforms on Google Cloud Platform (GCP)
- Build and manage enterprise-scale data warehouses and data marts using BigQuery
- Develop transformation layers using dbt, including staging, intermediate, and marts models
- Implement Dbt testing frameworks, documentation, macros, and CI/CD pipelines
- Design and develop robust ingestion and orchestration workflows using Matillion ETL
- Implement parameterization, error handling, monitoring,



and audit logging in Matillion jobs
- Integrate dbt and Matillion workflows with Cloud Composer (Airflow)
- Design and maintain scalable ETL/ELT pipelines for structured and unstructured data
- Develop automation frameworks and validation processes using Python and SQL
- Collaborate with data architects, analysts, and business stakeholders to deliver data solutions
- Implement Git-based workflows, code review processes, and branching strategies
- Build and maintain CI/CD pipelines using Cloud Build, GitHub Actions, or GitLab CI
- Ensure platform security, governance, performance optimization, and cost efficiency
- Establish data quality, data lineage, and monitoring standards across platforms
- Support clinical and healthcare data integration initiatives involving multiple source systems

Expertise You'll Bring:
- 6+ years of experience in cloud-based data engineering environments, preferably GCP
- Strong hands-on exper

📌 GCP Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune