Data Engineer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 5+ years of experience as a Data Engineer developing, optimizing, and maintaining robust ETL/ELT data pipelines.
- Posting language
- English
- Posted
Original job description
- 5+ years of experience as a Data Engineer developing, optimizing, and maintaining robust ETL/ELT data pipelines.
- Hands-on experience with Google Cloud Platform (GCP), including:
- BigQuery
- Dataflow
- Dataproc
- Cloud Run
- Cloud Storage
- Strong expertise in data modeling, including:
- Logical and physical data models
- Dimensional modeling
- BigQuery-specific physical data modeling
- Strong SQL development and optimization skills.
- Experience working with large-scale, production-grade data environments.
More about this job
Responsibilities
Develop, optimize, and maintain robust ETL/ELT data pipelines in production-grade environments. Apply data modeling and SQL expertise while working with Google Cloud Platform services, including BigQuery, Dataflow, Dataproc, Cloud Run, and Cloud Storage.
Requirements
Requires 5+ years of experience as a Data Engineer and hands-on experience with Google Cloud Platform services. Candidates should have strong SQL development and optimization skills, expertise in logical, physical, and dimensional data modeling, and experience with large-scale production data environments.
Skills
- ETL/ELT Data Pipelines
- Google Cloud Platform
- BigQuery
- Dataflow
- Dataproc
- Cloud Run
- Cloud Storage
- Data Modeling
- Logical Data Models
- Physical Data Models
- Dimensional Modeling
- SQL Development
- SQL Optimization
- Large-Scale Data Environments
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
Keywords
- Data Engineer
- ETL
- ELT
- Data Pipelines
- Google Cloud Platform
- GCP
- BigQuery
- Dataflow
- Dataproc
- Cloud Run
- Cloud Storage
- Data Modeling
- Logical Data Models
- Physical Data Models
- Dimensional Modeling
- SQL
- SQL Optimization
- Large-Scale Data Environments
- IT Services
- IT Consulting