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Publié il y a 5 jours

Data Engineer

@ TechDoQuest

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Toronto, Ontario

Contrat4+ ans d’expérience
Postuler
SIGNAUX

En bref

TechDoQuest is hiring a Data Implementation Engineer in Toronto on a 6-12 month contract, renewable based on performance and requirements. The role builds and maintains scalable data pipelines and architectures for large financial datasets using Snowflake, Spark, PySpark, Azure and Python. The posting requires hybrid work with 3 days per week at the client office in Ethoca's Toronto office.

Responsabilités :

  • Design, build and maintain scalable data pipelines
  • Implement data architectures for large financial datasets
  • Write maintainable Python and SQL code
  • Integrate data governance and lineage tracking

Résumé des exigences :

  • 4+ years of data engineering experience
  • Advanced SQL and relational and NoSQL databases
  • Snowflake, Hadoop, Spark, PySpark, Databricks, Azure
  • Python proficiency for data engineering
  • Familiarity with orchestration and workflow tools

Outils et compétences

SnowflakePySparkSparkHadoopDatabricksAzurePythonSQL
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-10
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

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience4 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau, Chez les clients
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

TechDoQuest

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ChampValeur
Offres sur Jobsy27
Description

Title: Data Implementation Engineer

Location: Toronto, Canada

Duration: 6-12 months and then keep renewing based on performance/requirements

Hybrid 3 days from client office in Ethoca office

Key Skills: Snowflake, PySpark, Azure, DevOps

Domain: BFSI preferred

Skills & Qualifications:

4+ years of Data Engineering experience

Advanced SQL; experience with relational and NoSQL databases

Strong experience with Snowflake, Hadoop, Spark, PySpark, Databricks, Azure

Proficiency in Python for data engineering

Familiarity with orchestration tools and workflow management systems

Responsibilities:

Design, build, and maintain scalable data pipelines using Snowflake, Hadoop, Spark, PySpark, Azure

Implement data architectures and optimize workflows for large financial datasets

Write high-quality, maintainable Python and SQL code following best practices

Integrate data governance, metadata management, and lineage tracking into solutions

This job is open for fulltime as well.

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