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Posted 5 months ago

GCP Data Migration Engineer – PySpark & Salesforce Data Migration

@ Astra North Infoteck Inc.

Brampton, Ontario

4+ years experience
Apply now
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Overview

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.

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

Source and dates

Source type not verified · zoho

Employer posting date
2026-06-07
First seen by our source
2026-10-11
Source record updated
2026-10-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentSoftware development
Experience4+ years
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Astra North Infoteck Inc.

FieldValue
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Job 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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