GCP Data Engineer
Chandra GopalRemoteSENIORPosted 11d ago
Google Cloud PlatformHealthcare domainMulti-cloudApache SparkScalaPythonBigQueryDataflowDataprocCloud StoragePub/SubGKEETL/ELTSQLData modelingREST APIsMicroservices architectureAngularReactGitCI/CD pipelinesAgile methodologiesAirflowDockerKubernetesKafkaGCP Professional Data Engineer certification
About the Role
We are looking for a GCP Data Engineer to join our team. This role focuses on designing and optimizing scalable data pipelines on Google Cloud Platform with a focus on healthcare data.
Key Responsibilities
• Design and optimize scalable data pipelines on GCP
• Build big data processing solutions using Spark, Scala, and Python
• Integrate data across cloud platforms and healthcare systems
• Ensure data quality, validation, governance, and performance optimization
• Collaborate with cross-functional teams and support CI/CD automation
• Mentor junior engineers and contribute to architecture improvements
Requirements
• Strong hands-on experience with Google Cloud Platform (GCP)
• Healthcare domain experience
• Multi-cloud experience with GCP and AWS and/or Azure
• Apache Spark, Scala, and Python
• GCP services: BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and GKE
• ETL/ELT, scalable data pipelines, SQL, and data modeling
• REST APIs and microservices architecture
• Exposure to Angular or React
• Git, CI/CD pipelines, and Agile methodologies