Postuler

Publié il y a 5 mois

GCP Data Migration Engineer – PySpark & Salesforce Data Migration

@ Astra North Infoteck Inc.

Brampton, Ontario

4+ ans d’expérience
Postuler
SIGNAUX

En bref

Astra North Infoteck Inc. is hiring a GCP Data Migration Engineer to build PySpark and Dataproc pipelines that migrate large datasets into Salesforce. The work covers BigQuery design, ETL on GCP, Salesforce APIs and reconciliation of complex object schemas.

Responsabilités :

  • Build PySpark and Dataproc pipelines on GCP
  • Write Python scripts for custom data transformations
  • Design and optimize BigQuery tables and SQL queries
  • Migrate data into Salesforce using Bulk and REST APIs
  • Validate and reconcile data across 70+ object schemas

Résumé des exigences :

  • 4 to 5 years of hands-on GCP Dataproc and Spark experience
  • Proficiency in Python and BigQuery
  • Experience building ETL pipelines on GCP
  • Understanding of the Salesforce data model and APIs
  • Preferred: Health Cloud or Life Sciences Cloud migration experience

Outils et compétences

Source et dates

Type de source non vérifié · zoho

Date publiée par l’employeur
2026-06-07
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

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
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.

Astra North Infoteck Inc.

ChampValeur
Offres sur Jobsy422
Description

GCP Data Migration Engineer – PySpark & Salesforce Data Migration

Required Skills & Experience:

Must Have (4-5 years minimum):

• Strong hands-on experience with GCP Dataproc and Apache Spark (PySpark preferred)

• Python scripting for custom data transformations and business logic

• Proficiency in BigQuery (SQL, table design, partitioning, optimization)

• Experience building ETL pipelines in GCP ecosystem

• Solid understanding of Salesforce data model and Salesforce APIs (Bulk API, REST API)

• Experience with GCS for file handling and cloud storage patterns

Preferred:

• Exposure to GitLab CI/CD (understanding pipeline YAML, not building from scratch)

• Prior Salesforce data migration projects (especially Health Cloud or Life Sciences Cloud)

• Knowledge of DLP implementation and PII handling best practices

• Healthcare data compliance knowledge (PIPEDA, HIPAA)

Technical Depth:

• Ability to debug complex Spark jobs and resolve memory/performance issues

• Strong SQL skills for data validation and reconciliation

• Experience handling large datasets (300GB+ structured, 3TB+ documents)

• Comfortable working with 70+ object schemas and complex relationships


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