- Job Title: GCP Data Engineer
- Location: Toronto, ON
- Work Arrangement: Onsite (hybrid)
- Employment Type: Contract
- Duration: 12 Months
- Domain: BFSI
- Pay Rate: CAD 65-70/hour Incorporated
- Application Deadline: July 17th, 2026
SKILLS REQUIRED
- Mandatory Skills:
- Strong experience in Data Engineering with expertise in building scalable batch and real-time data pipelines.
- Hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer (Airflow), Cloud Functions, and Cloud Run.
- Strong programming skills in Python, SQL, and PySpark for data processing and transformation.
- Experience developing and optimizing ETL/ELT pipelines, data integration frameworks, and data warehousing solutions.
- Strong understanding of BigQuery, dimensional data modeling, relational and NoSQL databases, and streaming data architectures.
- Experience with CI/CD pipelines, GitHub, DevOps, and Infrastructure as Code (Terraform is a plus).
- Knowledge of Apache Spark, Kafka, Airflow, Docker, Kubernetes, and cloud-native data engineering best practices.
- Experience working in Agile/Scrum environments with a focus on data quality, governance, security, and enterprise analytics.
EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
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GCP Data Engineer
Pacer Group
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