Architectural logic: Glue runs in AWS; connector/agent in on-prem network proxies connection. Efficient extraction: (1) Pushdown—filter at source. (2) Partition-based extract (date). (3) Incremental via bookmarks/watermark. (4) Parallel reads by splitting on numeric key. Why:...
This medium-level Cloud/Tools question appears frequently in data engineering interviews at companies like EPAM. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition, sql) will help you answer variations of this question confidently.
Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.
Architectural logic: Glue runs in AWS; connector/agent in on-prem network proxies connection. Efficient extraction: (1) Pushdown—filter at source. (2) Partition-based extract (date). (3) Incremental via bookmarks/watermark. (4) Parallel reads by splitting on numeric key. Why: Full scans over WAN are slow and expensive. Best practice: Connector in same network as DB; connection pooling; always use predicates.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.