Data Engineer - GCP services
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Role details
Tech stack
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Requirements
Data Engineering: Advanced SQL, data modeling, ETL/ELT, batch & streaming pipelines GCP Expertise: BigQuery, Dataflow, GCS, Pub/Sub, Dataproc Programming: Python (primary), with Java/Scala for distributed processing Data Integration: Ingestion patterns, APIs, CDC, and scalable pipeline design DevOps & Security: CI/CD, Terraform, IAM, data governance & lifecycle management Lead design and development of scalable, high-performance applications using Python and GCP services Architect and implement cloud-native solutions leveraging GCP services such as Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Functions Drive application architecture decisions, ensuring scalability, reliability, and maintainability Solid knowledge of disaster recovery, disaster management, and system resiliency practices, including fault tolerance, high availability, and business continuity planning
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