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Première détection par notre source: il y a 27 jours

RQ11099 - Sr. DataOps/Cloud Data Engineer

@ Source Code

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Toronto, Ontario

68,28–102,42 $/h
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SIGNAUX

En bref

Source Code is hiring a Senior DataOps/Cloud Data Engineer on a 1-year 11-month contract with possible extension, working onsite five days a week at 5700 Yonge St., Toronto. The work builds data pipelines, transformations and lakehouse data models on Databricks, Azure Data Factory and AWS Glue. Pay is $85.35–$102.42/hr incorporated or $68.28–$81.94/hr T4, based on 7.25 billable hours per day, and the role requires a CRJMC security level.

Salaire :

68,28 $–102,42 $ de l’heure

Responsabilités :

  • Design, develop, test and implement data pipelines using Databricks, Azure Data Factory and AWS Glue
  • Build complex data transformation procedures
  • Design data models for data warehouses and lakehouses
  • Troubleshoot data pipelines and transformations

Résumé des exigences :

  • Data engineering with pandas and PySpark
  • Lakehouse solutions such as Databricks (Delta Lake)
  • AWS services: Glue, Step Functions, Lambda, S3
  • ETL with Informatica IDMC
  • Working with XLSX, CSV, JSON, relational databases and cloud storage

Outils et compétences

DatabricksDelta LakePySparkpandasAWS GlueAWS Step FunctionsAWS LambdaAWS S3Informatica IDMCAzure Data Factory
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-12
Mise à jour du dossier source
2026-10-15

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine36.25
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Cote de sécuritéAutre cote

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

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Source Code

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ChampValeur
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Description

RQ11099 - Sr. DataOps/Cloud Data Engineer

1-year 11-month contract (457 business days) - possible extension

ONSITE 5 days - 5700 Yonge St. Toronto'

Security Level: CRJMC

MUST HAVES:

· Data engineering (pandas, pyspark)

· Data lakehouse solutions such as Databricks (Delta Lake).

· Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data

· Experience using AWS Services such as Glue, StepFunctions, Lambda, S3

· Extract/Transform/Load data using tools such as Informatica IDMC

Responsibilities:

Design, develop, test, implement, and troubleshoot:

· data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue

· complex data transformation procedures

· data models for data warehouses and lakehouses

AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

  • $85.35/hr - $102.42/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

  • $68.28/hr - $81.94/hr T4

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