Job Description
We are hiring
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Role: Senior GCP Data Engineer position in Florida.
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Location: Coral Gables, FL (Onsite/Hybrid)
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Employment Type: Contract
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About the Role
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We are looking for a hands-on Senior GCP Data Engineer to design, build, and optimize enterprise-scale data platforms on Google Cloud Platform (GCP). 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.
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Key Responsibilities
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- Design, develop, and maintain enterprise-scale data platforms on GCP.
- Build and optimize 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).
- Optimize BigQuery workloads for performance, scalability, and cost efficiency.
- Implement CI/CD pipelines, Terraform, and operational monitoring.
- Enable trusted, governed, and AI-ready data foundations.
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Required Qualifications
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- 10+ years of Data Engineering experience.
- Minimum 8+ years of hands-on Google Cloud Platform (GCP) experience.
- Proven experience building large-scale enterprise data platforms.
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Mandatory Technical Skills
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GCP: BigQuery, Dataproc, Dataflow, Cloud Composer (Airflow), Pub/Sub, GCS, BigLake, Cloud Functions, Cloud Run
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Data Engineering: Python, SQL, PySpark, Apache Spark, Data Modeling, ETL/ELT, Batch & Streaming Processing
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Lakehouse & Automation: Apache Iceberg, Terraform, CI/CD, Infrastructure as Code, Monitoring & Observability
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Preferred Qualifications
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BigLake, Dataplex, Vertex AI, Looker, Real-time Analytics, Multi-cloud experience (AWS/GCP).
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Additional Enterprise Technologies: Snowflake, Oracle Database, Oracle GoldenGate, ODI, PeopleSoft, Oracle ERP ecosystems.
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