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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Strong hands‐on experience with
Google Cloud Platform (GCP)
.
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Excellent experience with
Google BigQuery
.
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Strong experience with
dbt (Data Build Tool)
.
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Hands‐on experience with
Google Kubernetes Engine (GKE)
.
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Solid 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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Good 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-*****-Ljbffr

📌 Gcp Data Engineer (Victoria)
🏢 Avance Consulting
📍 Victoria