Senior Google Cloud Platform Data Engineer

K-Tek Resourcing LLC
Coral Gables, FL, United States
5 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Training Data Artificial Intelligence Airflow Apache HTTP Server BigQuery Continuous Integration Information Engineering Extract Transform Load (ETL) Data Systems Data Flow Control Monitoring of Systems Python (Programming Language)
+11 more
Cloud Services Cloudera SQL Databases Data Streaming Enterprise Data Management Google Cloud Apache Spark Pyspark Infrastructure Automation Frameworks Data Management Terraform

Job description

We are looking for a hands-on Senior Google Cloud Platform Data Engineer to design, build, and optimise enterprise-scale data platforms on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have deep expertise in BigQuery, Apache Iceberg, and cloud-native data engineering services, with experience delivering scalable, high-performance data solutions that support analytics, reporting, and AI-driven initiatives., * Design, develop, and maintain enterprise-scale data platforms on Google Cloud Platform.

  • Build and optimise batch and streaming data pipelines using BigQuery, Dataproc, Dataflow, Pub/Sub, and GCS.

  • Develop robust ETL/ELT frameworks, data models, and data quality solutions.
  • Implement modern lakehouse architectures using Apache Iceberg.
  • Design and manage end-to-end orchestration using Cloud Composer (Airflow).
  • Optimise BigQuery workloads for performance, scalability, and cost efficiency.
  • Implement CI/CD pipelines, Terraform, and operational monitoring.
  • Enable trusted, governed, and AI-ready data foundations.

Requirements

  • 10+ years of Data Engineering experience.
  • Minimum 8+ years of hands-on Google Cloud Platform (Google Cloud Platform) experience.
  • Proven experience building large-scale enterprise data platforms.

Mandatory Technical Skills Google Cloud Platform: BigQuery, Dataproc, Dataflow, Cloud Composer (Airflow), Pub/Sub, GCS, BigLake, Cloud Functions, Cloud Run Data Engineering: Python, SQL, PySpark, Apache Spark, Data Modeling, ETL/ELT, Batch & Streaming Processing Lakehouse & Automation: Apache Iceberg, Terraform, CI/CD, Infrastructure as Code, Monitoring & Observability

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