AWS Data Engineer
- Toronto, ON, Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
🚀 Hiring: Fulltime AWS Data Engineer | 5+ Years Experience
Are you passionate about building scalable data platforms and cloud-native data solutions? We are looking for a Data Engineer with strong expertise in AWS-based data engineering, large-scale data processing, Data Lake/Lakehouse architectures, and modern ELT/ETL frameworks to join our growing team.
📍 Location:
GTA, Ontario (Hybrid)
Must-Have Skills:
✅ 5+ years of experience in Data Engineering and large-scale data processing
✅ Strong hands-on experience with AWS cloud-based data solutions
✅ Experience designing and supporting:
- Data Lake solutions
- Lakehouse architectures
- Data Hub platforms
✅ Hands-on experience with:
- Amazon Athena
- AWS Glue
- Amazon S3
- AWS Lambda
- Amazon SageMaker
✅ Strong knowledge of:
- ETL/ELT frameworks
- Data integration and transformation
- Data pipeline development
- Data modeling and data architecture
✅ Experience working with structured and unstructured datasets
📩 Interested candidates are encouraged to apply or reach out directly for more information.
More about this job
Responsibilities
Build and support scalable, cloud-native data solutions on AWS, including Data Lake, Lakehouse, and Data Hub platforms. Develop data pipelines and perform data integration and transformation for structured and unstructured datasets.
Requirements
Requires 5+ years of experience in data engineering and large-scale data processing, with strong hands-on experience in AWS data solutions. Candidates should have experience with Athena, Glue, S3, Lambda, and SageMaker, as well as ETL/ELT frameworks, data architecture, and structured and unstructured data.
Skills
- AWS
- Data Engineering
- Large-Scale Data Processing
- Data Lake Architecture
- Lakehouse Architecture
- Data Hub Platforms
- Amazon Athena
- AWS Glue
- Amazon S3
- AWS Lambda
- Amazon SageMaker
- ETL/ELT Frameworks
- Data Integration
- Data Transformation
- Data Pipeline Development
- Data Modeling
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- AWS
- Data Engineering
- Large-Scale Data Processing
- Cloud-Native Data Solutions
- Data Lake
- Lakehouse
- Data Hub
- Amazon Athena
- AWS Glue
- Amazon S3
- AWS Lambda
- Amazon SageMaker
- ETL
- ELT
- Data Integration
- Data Transformation
- Data Pipelines
- Data Modeling
- Data Architecture
- Structured Data
- Unstructured Data