etl-sync-job-builder

To build an ETL data pipeline with incremental sync and idempotency, design jobs that track watermarks to process only new or updated records, ensuring safe re-runs without duplicating data.

Watermark tracking in data synchronization jobs is used to capture the timestamp of the last processed record, enabling incremental updates by fetching only new data on the next run.

To handle conflict resolution and error retries in a data sync job, implement built-in retry logic with exponential backoff and specific strategies to resolve data conflicts during synchronization.

Yes, Change Data Capture (CDC) works for syncing transactional databases to a data warehouse by efficiently identifying and transferring only the changed records to keep the warehouse updated.

Your data sync job creates duplicate records when re-running because it lacks idempotency guarantees, meaning the job design must ensure operations can be safely repeated without unintended side effects.