Publié avant-hier
Senior Data Engineer
@ Healthfirst
Toronto, Ontario
En bref
Healthfirst is hiring a Senior AWS Data Engineer on a contract basis to lead data engineering projects, design data architectures and manage pipelines in a healthcare insurance setting. The role requires 8+ years of IT experience, including 5+ years in Python, PySpark, SQL, AWS data services and shell scripting, plus experience leading data engineering teams in Agile environments.
Responsabilités :
- Lead development of large-scale data pipelines and architectures
- Design, build and test data architecture aligned with business requirements
- Provide technical leadership on data projects and best practices
- Collaborate with product, finance and business units
- Oversee data solutions for predictive and prescriptive analytics
Résumé des exigences :
- 8+ years overall IT experience, 5+ years in listed tech skills
- Python scripting and PySpark for data processing
- SQL and big data processing
- AWS data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
- BASH/Shell scripting
- Healthcare insurance domain and leading data engineering teams
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-11
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
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 | 8 an(s) et plus |
| Gestion d’équipe | Oui |
| 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.
Healthfirst
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Job Requirements
Title: Senior AWS Data Engineer
Looking for 10+ years of exp consultants
Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
? 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
? Tech Skills:
? Strong experience in Python Scripting and PySpark for data processing
? Proficiency in SQL, dealing with big data processing
? Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
? Expertise in BASH/Shell scripting
? Strong understanding of healthcare insurance domain and experience leading data engineering teams
? Experience in Agile environments.
? Excellent problem-solving skills and attention to detail.
? Effective communication and collaboration skills.
Responsibilities:
? Leads development of data pipelines and architectures that handle large-scale data sets.
? Designs, constructs, and tests data architecture aligned with business requirements.
? Provides technical leadership for data projects, ensuring best practices and high-qualitydata solutions.
? Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
? Oversees development of data solutions that enable predictive and prescriptive analytics.
? Ensures the technical quality of solutions, managing data as it moves across environments.
• Aligns data architecture to Healthfirst solution architecture.
Work Experience :10Years
Journal
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