Senior GCP Data Engineer

HMG America
Coral Gables, FL, United States
8 days ago
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Role details

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

Tech stack

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) Oracle Databases
+16 more
Oracle (Applications) Cloud Services Cloudera SQL Databases Data Streaming Enterprise Data Management Google Cloud Enterprise Software Applications Snowflake Apache Spark Pyspark Infrastructure Automation Frameworks People Soft Data Management Oracle Erp Terraform

Job description

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., Additional Enterprise Technologies: Snowflake, Oracle Database, Oracle GoldenGate, ODI, PeopleSoft, Oracle ERP ecosystems.

Requirements

  • 10+ years of Data Engineering experience. \n

  • Minimum 8+ years of hands-on Google Cloud Platform (GCP) experience. \n

  • Proven experience building large-scale enterprise data platforms. \n

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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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