TekStaff's Client has a current vacancy for "GCP Data engineer"
- Job Description
- Typical Day in Role:
- • Design and implement scalable data architectures, analytical models, and cloud-native data platforms.
- • Develop, deploy, and maintain large-scale ETL/ELT pipelines for batch and streaming data processing.
- • Build and manage orchestration workflows.
- • Optimize data storage, query performance, and processing efficiency.
- • Enable reporting, dashboards, and business intelligence solutions using modern visualization platforms.
- • Support DevOps and CI/CD practices for data platforms, including containerization and cloud deployment workflows.
- • Contribute to AI and machine learning data workflows, including preparation of training-ready datasets and prompt-enabled prototyping.
- • Ensure data quality, governance, and metadata management standards are met
Candidate Value Proposition:
- Opportunity to work with modern GCP technologies
- Exposure to a cutting-edge AML AI initiative
- High-visibility project within a Top 5 Canadian bank
Candidate Requirements/Must Have Skills:
- 1) 10+ years of experience in data engineering, ETL development and analytics delivery
- 2) Hands-on experience with Google Cloud Platform
- 3) Strong proficiency in Python scripting
- 4) Experience working with BigQuery
- 5) Experience with Cloud Composer/Apache Airflow
Nice-To-Have Skills:
- 1) Experience in database development
- 2) Experience with Microsoft Azure
- 3) Proficiency in Java, Scala, SQL
- 4) Experience with Dataflow, Dataproc, DBT, Databricks
TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
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GCP Data engineer
TekStaff IT Solutions
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