GCP Data Engineer

HMG AMERICA LLC; Florida; Híbrido; USD 180 000 - 260 000; Tempo integral

Resumo da oferta

HMG AMERICA LLC in Coral Gables, FL is seeking a hands-on Senior GCP Data Engineer to design, build, and optimize enterprise-scale data platforms on Google Cloud. You will work with BigQuery, Apache Iceberg, Dataproc, Dataflow, Pub/Sub and GCS to deliver scalable analytics, reporting, and AI-ready data solutions.

The role emphasizes lakehouse architectures, end-to-end data governance, and CI/CD automation. This role requires 10+ years in data engineering with 8+ years on GCP, a track record of

Qualificações

• 10+ years of Data Engineering experience.
• Minimum 8+ years of hands-on Google Cloud Platform (GCP) experience.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

PySpark

Apache Spark

Data Modeling

ETL/ELT

Batch & Streaming Processing

Ferramentas

BigQuery

Dataproc

Dataflow

Pub/Sub

GCS

Terraform

Apache Iceberg

Vertex AI

Descrição da oferta de emprego

Location: Coral Gables, FL (Onsite/Hybrid)

About the Role

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.

Key Responsibilities

• 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.

Required Qualifications

• 10+ years of Data Engineering experience.
• Minimum 8+ years of hands-on Google Cloud Platform (GCP) experience.

Mandatory Technical Skills

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

Preferred Qualifications

BigLake, Dataplex, Vertex AI, Looker, Real-time Analytics, Multi-cloud experience (AWS/GCP).

Additional Enterprise Technologies

Snowflake, Oracle Database, Oracle GoldenGate, ODI, PeopleSoft, Oracle ERP ecosystems.