Key Responsibilities:
· Design and develop scalable data pipelines and cloud data platforms on Google Cloud Platform.
· Build ETL/ELT workflows using PySpark, Dataproc, DBT, and Data Composer.
· Develop data solutions using BigQuery, BigLake, Apache Iceberg, and Starburst.
· Integrate healthcare data through APIs, SFTP, and Kafka.
· Develop data models and implement data quality, governance, security, and performance best practices.
· Monitor, troubleshoot, and optimize production data pipelines and workloads.
· Collaborate with architects, analysts, and business stakeholders.
Required Skills:
· 10+ years of Data Engineering / Cloud Data Platform experience.
· Strong hands-on experience with Google Cloud Platform, BigQuery, BigLake, Dataproc, Data Composer, Apache Iceberg, Starburst, DBT, and PySpark.
· Strong SQL, ETL/ELT, data modeling, and performance optimization skills.
· Experience with Kafka, APIs, and SFTP integrations.
· Experience with production monitoring, troubleshooting, and platform reliability.
· Healthcare domain experience with Claims, Member, Provider, or Clinical data.
· Understanding of healthcare data governance, security, integration, and quality requirements.
Preferred:
· Knowledge of FHIR, HL7, and EDI.
· Google Cloud Platform or relevant cloud certifications.
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