GCP Data Engineer

Aarorn Technologies Inc; Toronto; Hybrid; CAD 55,104 - 66,124; Full time

Job summary

A leading IT services company is seeking a skilled GCP Data Engineer to design, develop, and maintain data pipelines on Google Cloud Platform. The ideal candidate will have expertise in Spark Serverless, ETL design, and Python programming. This mid-senior level contract position requires strong knowledge of data governance and GCP services like BigQuery and CloudSQL. The role is on-site three times a week in Toronto and offers a pay range of CAD$40 to CAD$48 per hour.

Qualifications

• Deep knowledge of GCP services and data governance.
• Experience in building and optimizing data workflows.
• Proficiency in ETL workflow design using Spark and Python.

Responsibilities

• Design and maintain scalable ETL workflows using Spark and Python.
• Implement data ingestion and loading processes.
• Utilize GCP services for efficient data processing.
• Optimize performance and cost for data workflows.
• Ensure compliance with regulatory standards.

Skills

Google Cloud Platform

Spark Serverless

Python programming

BigQuery

CloudSQL

Data governance

Data quality frameworks

Cloud Logging

Cloud Monitoring

Education

GCP Professional Data Engineer certification

Tools

Docker

Kubernetes

Job description

Job Title: GCP Data Engineer

Location: Toronto, ON (3x onsite a week)

Employment Type: Contract

Pay Rate: CAD$40 - $48/HR INC

Pay Range (Aarorn Technologies Inc)

This range is provided by Aarorn Technologies Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

CA$40.00/hr - CA$48.00/hr

Job Description

We are looking for a skilled GCP Data Engineer with strong experience in building and optimizing data pipelines on Google Cloud Platform. The ideal candidate will have hands‑on expertise in ETL workflow design using Spark Serverless and Spark on GKE, combined with proficiency in Python programming for data processing and automation. This role requires deep knowledge of GCP services, data governance, and monitoring practices.

Key Responsibilities

• Design, develop, and maintain scalable ETL workflows using Spark Serverless, Spark on GKE, and Python.
• Implement data ingestion, transformation, and loading processes for structured and unstructured data.
• Utilize GCP services such as BigQuery, CloudSQL, Cloud Storage, and Pub/Sub for efficient data processing.
• Optimize performance and cost for large-scale data workflows.
• Implement data governance, data quality checks, and data lineage tracking using GCP tools.
• Ensure compliance with organizational and regulatory standards.
• Set up Cloud Logging, Cloud Monitoring, and alerting for data pipelines and infrastructure.
• Troubleshoot and resolve issues proactively to maintain high availability.
• Work closely with data scientists, analysts, and architects to deliver reliable solutions.
• Automate workflows and processes using Python and GCP-native tools.

Required Skills And Qualifications

• Strong experience with Google Cloud Platform and its data services.
• Hands‑on expertise in Spark Serverless, Spark on GKE, and Python programming.
• Proficiency in BigQuery, CloudSQL, and GCP‑native ETL tools.
• Knowledge of data governance, data quality frameworks, and lineage tools.
• Experience with Cloud Logging, Cloud Monitoring, and observability best practices.

Preferred Qualifications

• GCP Professional Data Engineer certification.
• Experience with containerization such as Docker and Kubernetes and CI/CD pipelines.
• Familiarity with data security and compliance standards such as GDPR and HIPAA.

Disclaimer: As part of our hiring process, we may use automated or AI-based tools to support candidate screening and application review. These tools are used to assist decision-making and do not replace human judgment.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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