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 up-to-date 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 expertise with Google Cloud Platform (GCP) and Bi

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