Opportunity for GCP Salesforce Data Migration Specialist
Contract | Immediate
Must Haves
- 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
Overall Experience (in Yrs)
Considerations
- 6 Month Contract
- Locations– Pan India
- Work from office
- Monday to Fridayworking
Screening Criteria
- 10 years of experience
- 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
- Available for 6 month contract
- Available to work from office
