BLEND360 is seeking a Lead Data Engineer to support a large-scale healthcare data platform on Google Cloud Platform (GCP). The role focuses on modernizing data ingestion, automation, and semantic layer capabilities to enable analytics and reporting across the organization. The ideal candidate will bring hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.
BLEND360 is seeking a Lead Data Engineer to support a large-scale healthcare data platform on Google Cloud Platform (GCP). The role focuses on modernizing data ingestion, automation, and semantic layer capabilities to enable analytics and reporting across the organization. The ideal candidate will bring hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.
What You'll Do - Design, build, and optimize scalable data pipelines for healthcare analytics and reporting. - Lead automation across ingestion, transformation, orchestration, and operational monitoring workflows. - Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources. - Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption. - Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns. - Partner with architects, analytics teams, and business stakeholders to translate data requirements into scalable solutions. - Optimize BigQuery performance, partitioning, and cost management strategies. - Implement engineering best practices for testing, observability, reliability, and deployment automation. - Support data governance, data quality, and metadata management initiatives across the platform. - Mentor junior engineers and provide technical leadership across delivery teams.
Qualifications - Required Skills: Strong expertise in Google Cloud Pla
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What You'll Do - Design, build, and optimize scalable data pipelines for healthcare analytics and reporting. - Lead automation across ingestion, transformation, orchestration, and operational monitoring workflows. - Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources. - Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption. - Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns. - Partner with architects, analytics teams, and business stakeholders to translate data requirements into scalable solutions. - Optimize BigQuery performance, partitioning, and cost management strategies. - Implement engineering best practices for testing, observability, reliability, and deployment automation. - Support data governance, data quality, and metadata management initiatives across the platform. - Mentor junior engineers and provide technical leadership across delivery teams.
Qualifications - Required Skills: Strong expertise in Google Cloud Pla
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Based on: Lead Data Engineer
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