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Publié il y a 11 jours

Data Engineer - Python, PySpark, SQL, Snowflake & API Integration

@ TMS LLC

Toutes ses offres

Toronto, Ontario

35–40 $/hTélétravailContrat3+ ans d’expérience
Postuler
SIGNAUX

En bref

TMS LLC is hiring a contract Data Engineer to build scalable data pipelines and cloud-based data solutions. The work covers Python, PySpark, SQL and Snowflake, plus integrating REST APIs and external data sources. The posting requires 3+ years of data engineering experience.

Salaire :

35 $–40 $ de l’heure

Responsabilités :

  • Design and optimize data pipelines with Python, PySpark, SQL and Snowflake
  • Integrate REST APIs and external data sources into Snowflake
  • Build and maintain ETL/ELT workflows
  • Implement data quality, validation and monitoring

Résumé des exigences :

  • 3+ years of data engineering experience
  • Strong hands-on expertise in Python, PySpark, SQL and Snowflake
  • Experience with REST APIs, JSON and API-based integration
  • Knowledge of ETL/ELT, data modeling and data warehousing
  • AWS, Azure or GCP experience preferred

Outils et compétences

SnowflakePySparkPythonSQL
Source et dates

Site carrière / système de candidatures · smartrecruiters

Date publiée par l’employeur
2026-10-26
Première détection par notre source
2026-10-27
Mise à jour du dossier source
2026-10-27

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience3 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy1
Description

Job Description

Data Engineer - Python, PySpark, SQL, Snowflake & API Integration

Job Description:

We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions.

Key Responsibilities:

  • Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake.
  • Integrate REST APIs and external data sources into Snowflake-based data platforms.
  • Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
  • Develop efficient SQL queries and optimize Snowflake performance.
  • Implement data quality, validation, monitoring, and automation.
  • Collaborate with engineering and analytics teams to deliver reliable data solutions.

Required Qualifications:

  • 3+ years of experience in Data Engineering.
  • Strong hands-on expertise in Python, PySpark, SQL, and Snowflake.
  • Experience with REST APIs, JSON, and API-based data integration.
  • Knowledge of ETL/ELT processes, data modeling, and data warehousing.
  • Experience with cloud platforms such as AWS, Azure, or GCP is preferred.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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