Job Description

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We are looking for an experienced GCP Data Engineer with strong hands‑on experience in Google BigQuery, dbt, and Google Kubernetes Engine (GKE) . The ideal candidate will be responsible for designing, developing, and maintaining scalable cloud data solutions on Google Cloud Platform.

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Key Responsibilities

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Design and develop scalable data pipelines and data platforms using Google Cloud Platform (GCP) .
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Develop and optimize complex BigQuery datasets, tables, views, and SQL queries.
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Build and maintain data transformation workflows using dbt .
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Develop reusable dbt models, macros, tests, and documentation.
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Implement data quality, validation, and monitoring frameworks.
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Deploy and manage data applications and services using Google Kubernetes Engine (GKE) .
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Work with cloud‑native services to build scalable and highly available data solutions.
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Optimize BigQuery performance and control query/storage costs.
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Develop and maintain ETL/ELT pipelines for batch and near‑real‑time data processing.
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Integrate data from multiple sources into GCP‑based data platforms.




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Implement CI/CD pipelines for data engineering and cloud deployments.
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Work closely with Data Architects, Analysts, Developers, and business stakeholders.
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Follow security, governance, data quality, and compliance standards.
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Mandatory Skills

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Robust hands‑on experience with Google Cloud Platform (GCP) .
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Excellent experience with Google BigQuery .
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Solid experience with dbt (Data Build Tool) .
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Hands‑on experience with Google Kubernetes Engine (GKE) .
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Strong SQL development and query optimization skills.
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Experience with Python or another programming language.
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Understanding of cloud data warehouse and data lake concepts.
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Experience with Git and CI/CD practices.
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Positive to Have

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Cloud Composer / Apache Airflow
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Pub/Sub
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Terraform
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Docker
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Looker
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GCP security and IAM
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Data governance and data quality frameworks
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J-18808-Ljbffr

📌 Gcp Data Engineer Victoria
🏢 Avance Consulting
📍 Victoria