Posted 20 days ago
AWS Data Engineer
@ HCLTech
Toronto, Ontario
Overview
HCLTech is hiring a full-time AWS Data Engineer in the GTA, Ontario, on a hybrid basis. The role builds scalable cloud-native data platforms, including Data Lake, Lakehouse and Data Hub solutions, and ETL/ELT pipelines on AWS. Candidates need 5+ years of data engineering experience.
Responsibilities:
- Design and support data lake and lakehouse solutions on AWS
- Build ETL/ELT pipelines and data integration workflows
- Develop data models and data architecture
- Process structured and unstructured datasets at scale
Requirements summary:
- 5+ years of data engineering experience
- Hands-on AWS cloud data solutions experience
- Experience with Athena, Glue, S3, Lambda and SageMaker
- Knowledge of ETL/ELT frameworks and data modelling
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-22
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
HCLTech
| Field | Value |
|---|---|
| Open jobs on Jobsy | 36 |
🚀 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.
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