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Publié il y a 4 mois

Senior Data Engineer – Marketing Operations

@ Querentia Inc.

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Toronto, Ontario

TélétravailContrat6+ ans d’expérience
Postuler
SIGNAUX

En bref

Querentia Inc. is hiring a Senior Data Engineer on a contract basis for its Marketing Operations team. The role builds and optimizes data transformation pipelines using dbt, Python and Snowflake, and coordinates delivery with client and offshore teams. The posting asks for 6-8 years of IT experience, including 4-5 years in data engineering.

Responsabilités :

  • Develop and maintain dbt, Python and Snowflake transformation pipelines
  • Design and optimize ETL workflows, API integrations and data models
  • Build and manage dbt projects with CI/CD and job scheduling
  • Coordinate with client stakeholders and offshore teams

Résumé des exigences :

  • 6-8 years of IT experience, 4-5 years in data engineering
  • Expert-level SQL and strong dbt, Python and Snowflake skills
  • Experience with CI/CD, job schedulers and pipeline automation
  • Experience with distributed or offshore teams is highly desirable

Outils et compétences

dbtPythonSQLSnowflakeCI/CDjob scheduler
Source et dates

Type de source non vérifié · jsonld

Date publiée par l’employeur
2026-07-26
Première détection par notre source
2026-10-26
Mise à jour du dossier source
2026-11-07

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

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience6 an(s) et plus
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 Jobsy331
Description

Role: Senior Data Engineer - Marketing Operations

Job Summary

We are seeking a Senior Data Engineer with 6-8 years of IT experience to build and optimize data transformation pipelines for Marketing Operations. The ideal candidate will have strong expertise in dbt, Python, SQL, and Snowflake , along with experience developing scalable ETL pipelines and collaborating with client and offshore teams.

Key Responsibilities

•

Develop and maintain data transformation pipelines using dbt , Python , and Snowflake .

•

Design and optimize ETL workflows, API integrations, and data models.

•

Build and manage complex dbt projects, including CI/CD pipelines and job scheduling.

•

Write and optimize advanced SQL for data transformation and analytics.

•

Collaborate with client stakeholders and offshore teams to deliver high-quality data solutions.

•

Delegate tasks, track delivery progress, and ensure timely project execution.

•

Support data warehousing initiatives and optimize data platform performance.

Required Skills & Experience

•

6-8 years of IT experience with 4-5 years in Data Engineering.

•

Strong expertise in:

•

dbt

•

SQL (Expert Level)

•

Python

•

Snowflake

•

Experience with CI/CD , job schedulers, and data pipeline automation.

•

Strong understanding of ETL development, API integrations, and data warehousing concepts.

•

Knowledge of Snowflake architecture is preferred.

•

Excellent communication, stakeholder management, and collaboration skills.

•

Experience working with distributed/offshore teams is highly desirable.

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