[Hiring] Data Developer @Infinite Resource Solutions

Role Description

Lead client SMEs through complex schema mapping and source-to-target validation, including automated reconciliation scripts across sandboxes and production cutovers.

• Expert in Automation Bypass strategies and Identity Resolution rules to prevent duplicate records and performance degradation during high-volume loads.
• Architect Zero Copy Federation via Salesforce Data Cloud (Data 360), mapping Databricks DLOs to Salesforce DMOs for 10–25 year historical datasets.
• Lead "Receiving Pipes" development using Bulk API 2.0 and scripting (Python, Node, or SFDX) to ingest 10 years of active and historical records.
• Perform complex object mapping from flat legacy tables into normalized Salesforce objects (Accounts, Cases, custom Disaster objects).
• Define a hybrid schema bridging physically migrated (10-year) and Zero Copy historical (10–25 year) data.
• Configure Match and Reconsolidation rules to link survivor records across 15+ years of Databricks history to active Salesforce cases.
• Build Parent-to-Child load sequencing (e.g., Disaster before Case).
• Manage Bulk API 2.0 concurrency limits and batch failures to ensure efficient, reliable dry runs and cutovers.

Qualifications

• Technical expertise in schema mapping and data validation.
• Experience with Salesforce Data Cloud and Databricks.
• Proficiency in scripting languages such as Python, Node, or SFDX.
• Strong understanding of data migration and object mapping.

Requirements

• Experience with Automation Bypass strategies and Identity Resolution.
• Ability to manage complex data loads and ensure data integrity.
• Knowledge of Bulk API 2.0 and its limitations.

Benefits

• Competitive salary.
• Health and wellness programs.
• Opportunities for professional development.