Publié avant-hier
Data Engineer
@ Tekshapers
Toronto, Ontario
SIGNAUX
En bref
Tekshapers is hiring a contract Data Engineer to design and lead large-scale data pipelines and architectures in the healthcare insurance domain. The work covers Python, PySpark, SQL and AWS cloud services, plus technical leadership and collaboration with product, finance and business teams.
Responsabilités :
- Lead development of data pipelines and architectures for large-scale datasets
- Design, build and test data architectures aligned with business requirements
- Provide technical leadership on data engineering projects
- Optimize data workflows and processing performance
Résumé des exigences :
- Strong Python scripting and PySpark experience
- Proficiency in SQL and large-scale data processing
- Hands-on AWS cloud services experience
- Expertise in BASH/Shell scripting
- Healthcare insurance domain experience
- Experience leading data engineering teams and working in Agile environments
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 | Développement logiciel |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Tekshapers
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 11 |
Description
Job Description
- We are looking for an experienced Data Engineer nwith strong expertise in Python, PySpark, SQL, and AWS cloud services. The ideal candidate will have experience designing and developing large-scale data pipelines, optimizing data workflows, and managing complex data engineering projects. Healthcare insurance domain experience and technical leadership skills are highly preferred.
- ### Key Responsibilities
- - Lead the development and implementation of data pipelines and architectures to handle large-scale datasets.
- - Design, build, and test data architectures aligned with business requirements.
- - Provide technical leadership on data engineering projects, ensuring best practices and high-quality solutions.
- - Collaborate with Product, Finance, and other business teams to understand data requirements.
- - Develop data solutions that support predictive and prescriptive analytics.
- - Ensure data quality, consistency, and smooth data movement across different environments.
- - Optimize data workflows and improve overall data processing performance.
- - Align data architecture with Healthfirst solution architecture.
- Required Technical Skills
- - Strong experience in Python Scripting and PySpark for data processing.
- - Proficiency in *SQL* and large-scale data processing.
- - Hands-on experience with **AWS Cloud Services**, including:
- - Amazon S3
- - AWS Redshift
- - AWS Lambda
- - Amazon EMR
- - AWS Glue
- - Apache Airflow
- - Expertise in BASH/Shell Scripting.
- - Strong understanding of data engineering concepts, data pipelines, and data architecture.
- Domain & Other Requirements
- - Strong understanding and experience in the **Healthcare Insurance domain**.
- - Experience leading data engineering teams.
- - Experience working in Agile environments.
- - Excellent problem-solving, analytical, and communication skills.
- - Ability to collaborate effectively with technical and business stakeholders.
Journal
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