Connexion Inscription gratuite
Postuler

Publié il y a 5 mois

Senior Data Engineer – Azure & Databricks

@ Querentia Inc.

Toutes ses offres Site Web

Télétravail au Canada

TélétravailContrat
Postuler
SIGNAUX

En bref

Querentia Inc. is hiring a Senior Data Engineer on a contract basis to build and run large-scale ETL/ELT pipelines and cloud data platforms on Microsoft Azure and Databricks. The work centres on pipeline development, performance optimization, orchestration and CI/CD rather than analytics or machine learning.

Responsabilités :

  • Design and maintain scalable ETL/ELT pipelines on Microsoft Azure
  • Build and optimize Databricks and PySpark processing workflows
  • Develop integrations with ADLS, ADF and Synapse
  • Manage orchestration, monitoring and operational support
  • Support CI/CD for data workflow deployment

Résumé des exigences :

  • Extensive hands-on Azure data engineering experience
  • Extensive Databricks and Spark experience
  • Strong PySpark and SQL development skills
  • Experience with large-scale performance tuning
  • CI/CD and DevOps experience for data workflows

Outils et compétences

Azure SynapseDatabricksPySparkSQL
Source et dates

Type de source non vérifié · jsonld

Date publiée par l’employeur
2026-05-28
Première détection par notre source
2026-10-26
Mise à jour du dossier source
2026-11-02

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
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 Jobsy331
Description

Senior Data Engineer - Azure & Databricks

Job Summary

We are seeking a highly skilled Senior Data Engineer with strong hands-on expertise in Azure cloud data engineering and Databricks-based pipeline development. The ideal candidate will have extensive experience building scalable, high-performance data pipelines and modern data platforms using Azure-native technologies.

This is a core data engineering role focused on large-scale ETL/ELT development, orchestration, optimization, and cloud data platform engineering - not an analytics or machine learning-focused position.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Microsoft Azure.

• Build and optimize data processing workflows using Databricks and PySpark.

• Develop and support data integration solutions using Azure data services including:

• ADLS

• ADF

• Synapse

• Databricks

• Implement large-scale data processing and performance optimization strategies.

• Design scalable and efficient data models to support enterprise data platforms.

• Manage data orchestration, monitoring, troubleshooting, and operational support activities.

• Support CI/CD and DevOps practices for automated deployment and data workflow management.

• Collaborate with engineering and business teams to ensure reliable and high-quality data delivery.

Required Qualifications

• Strong hands-on experience with Microsoft Azure data engineering services.

• Extensive experience with Databricks and Spark-based processing frameworks.

• Strong proficiency in PySpark and SQL development.

• Experience building end-to-end ETL/ELT pipelines and scalable cloud data solutions.

• Expertise in large-scale data processing and performance tuning.

• Strong understanding of data orchestration, monitoring, and troubleshooting practices.

• Experience implementing CI/CD and DevOps processes for data engineering workflows.

• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience working in enterprise-scale cloud migration or modernization initiatives.

• Exposure to modern lakehouse or distributed data architectures.

• Experience supporting high-volume data processing environments.

Key Skills & Competencies

• Azure Data Engineering

• Databricks & PySpark

• ETL / ELT Pipeline Development

• Azure Synapse, ADF & ADLS

• SQL & Data Modeling

• Spark Performance Optimization

• Data Orchestration & Monitoring

• CI/CD & DevOps for Data Workflows

Emplois semblables

  • Data Engineer

    Toronto, ON

    Bank of Montreal

    2+ ansBank of Montreal needs candidates with at least 2 years of relevant experience and IT education or certification. They should have hands-on experience with ETL/ELT, data warehousing, SQL, Python, Spark and cloud data services.

    SSIS, AWS Glue, Netezza, Hadoop, Spark, JIRA

  • Data Engineer

    North Vancouver, BC
    40–60 $/hTemporaire

    Robert Half

    5+ ansCandidates need 5+ years as a business analyst, data analyst or data engineer, with strong SQL, advanced Excel and Power BI skills. Experience with ERP systems and finance, procurement or inventory processes is required.

    SQL, Excel, Power Query, Power Pivot, Power BI, Oracle

  • Data Engineer

    Lachine, QC
    45–58,09 $/hContrat

    Randstad Canada

    3+ ansRandstad Canada needs candidates with at least 3 years of full-time data engineering or business intelligence experience. They must know advanced SQL, cloud data warehousing, Matillion, AWS services and SAP data structures.

    Snowflake, Matillion, AWS, Tableau, Power BI, SAP ECC

    Data Engineer

    Lachine, QC
    45–58,09 $/hContrat

    Randstad Canada

    3+ ansRandstad Canada needs candidates with 3+ years in data engineering, business intelligence or analytics engineering. Candidates need expert SQL, star and snowflake modeling, Snowflake and Matillion experience, AWS services and SAP data knowledge.

    Snowflake, Matillion, AWS, SAP ECC, SAP S/4HANA, Tableau

  • Senior Data Engineer

    Victoria, BC
    Télétravail

    Beatport

    5+ ansBeatport needs candidates with 5+ years of direct data engineering experience, expert SQL (ideally MySQL or Postgres dialects), dbt, and production ETL/ELT ownership with orchestration tools such as Airflow or Composer. Candidates also need Python, strong attention to data integrity for financial or regulatory reporting, and clear communication with technical and non-technical stakeholders.

    dbt, BigQuery, Google Cloud Platform, Airflow, Cloud Composer, Cloud Run

  • Data Engineer

    Télétravail au Canada
    90k–120k $/anTélétravailTemps plein

    Clever Digital Marketing

    2+ ansClever Digital Marketing needs candidates with 2 to 4 years of hands-on data or analytics engineering experience. They must have strong SQL and Python skills, experience with BigQuery or a similar cloud warehouse, third-party API integration, and Git-based code review.

    BigQuery, Google Cloud Platform, Cloud Run, Cloud Functions, Pub/Sub, Dataform

  • Senior Data Engineer

    Mississauga, ON

    Capgemini

    8+ ansCandidates need 8+ years in data engineering and warehousing, with advanced Python, PySpark and SQL skills and strong Microsoft Azure experience. Proven leadership of technical teams and experience with Spark-based big data solutions are required.

    Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Lake Storage, Snowflake

  • Data Engineer Senior

    Montréal, QC
    Temps plein

    CGI

    Candidates need senior experience in data engineering and data solution design, including work on modern analytics platforms.

    Azure

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.