Posted 5 months ago
GCP Data Migration Engineer – PySpark & Salesforce Data Migration
@ Astra North Infoteck Inc.
Brampton, Ontario
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
| Seniority | Mid level |
| Department | Software development |
| Experience | 4+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
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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