Data Developer
Infinite Resource Solutions
Job Description Technical Expertise: 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, while leading "Receiving Pipes" development using Bulk API 2.0 and scripting (Python, Node, or SFDX) to ingest 10 years of active and historical records. Advanced Skills: Perform complex object mapping from flat legacy tables into normalized Salesforce objects (Accounts, Cases, custom Disaster objects) and 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) and manage Bulk API 2.0 concurrency limits and batch failures to ensure efficient, reliable dry runs and cutovers.
Vacancy posted 4 days ago
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