We are looking for a highly experienced Senior GCP Data Engineer with US Healthcare to design, build, and scale up-to-date data platforms on Google Cloud. The ideal candidate will bring 5 to 10 years of experience, strong data engineering expertise, and proven leadership capabilities, along with a mandatory background in the US Healthcare Payer domain.

Key Responsibilities
Lead the architecture, design, and development of scalable data platforms on GCP
Provide technical leadership, mentoring, and guidance to data engineering teams
Build, optimize, and maintain ETL/ELT pipelines for healthcare data processing
Design and manage data models for analytics, reporting, and regulatory compliance
Process and integrate large-scale US healthcare datasets across multiple systems
Ensure high-quality data integration, transformation, and validation aligned with healthcare standards
Implement data quality frameworks, audit mechanisms, and validation pipelines
Drive adoption of AI-powered coding tools to improve development productivity and code quality
Collaborate with business, compliance, and healthcare stakeholders to deliver data-driven solutions
Optimize BigQuery performance and manage cloud costs efficiently
Establish CI/CD pipelines, DataOps practices, and monitoring frameworks




Lead migration and modernization initiatives from legacy systems (e.g.,Teradata) to GCP
Ensure adherence to data security, governance, and HIPAA compliance requirements
Maintain comprehensive documentation for pipelines, architectures, and workflows

Required Skills (5+ Years of experience) Data Engineering & GCP
Strong expertise in ETL/ELT development, advanced SQL, Python, and data warehousing concepts
Hands-on experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer

Healthcare Domain (Mandatory)
Solid experience working with US Healthcare data (claims, member, provider, clinical, or enrollment data)
Understanding of regulatory and compliance standards including HIPAA

AI & Up-to-date Engineering
Practical experience using AI-assisted development tools (Gemini, ChatGPT, Copilot, Claude, Cursor, etc.)
Ability to leverage AI for code generation, automation, optimization, and troubleshooting

DevOps & DataOps
Experience with CI/CD pipelines (Git, Jenkins, GitHub Actions)
Monitoring and observability using Cloud Logging and Cloud Monitoring
Robust understanding of security practices including IAM and data governance

📌 Senior Gcp Data Engineer With Us Healthcare Bengaluru
🏢 Ascendion Engineering
📍 Bengaluru