Publié il y a 20 jours
AWS Data Engineer
@ HCLTech
Toronto, Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-22
- Première détection par notre source
- 2026-11-11
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
HCLTech
| Champ | Valeur |
|---|---|
| Offres sur 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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