Sun Life Financial Data Engineer Interview Questions
The questions to prepare for a Sun Life Financial Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Design a cloud-native batch ETL platform on AWS or Azure for 2.5 TB/day of mixed-source data with orchestration, quality checks, and incremental loads.
Sun Life FinancialDecide when an operational workflow should run in batch versus real time, based on latency, complexity, reliability, and data quality needs.
Sun Life FinancialKey security considerations for a cloud data pipeline, from ingestion through storage, orchestration, and monitoring.
Sun Life FinancialExplain how clustered and non-clustered indexes differ in storage, lookup behavior, and query performance.
Sun Life FinancialAssesses your hands-on ability to transform and manipulate data for analytics and reporting use cases.
Sun Life FinancialModel related policy and claim data, then summarize approved claims while preserving policyholders without claims.
Sun Life FinancialUse a CTE, join, and RANK window function to find employees earning the third-highest distinct salary.
Sun Life FinancialAAptean
Sun LifeAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Tests software engineering discipline for long-lived data engineering codebases.
Sun Life FinancialTests your ability to debug Python logic and harden pipelines against bad inputs.
Sun Life FinancialTests production engineering practices for maintainability, configurability, and reliability.
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