HCL Tech Data Engineer Interview Questions
The questions to prepare for a HCL Tech Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.
Design a Databricks Lakehouse pipeline and justify when to use Spark RDDs, DataFrames, or Datasets for scalable ETL and streaming.
Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.
Approach for maintaining data quality and integrity across ETL pipelines.
Evaluates end-to-end data architecture design for scalable, secure, and maintainable cloud deployments.
Tests incident diagnosis skills and performance troubleshooting in production ETL pipelines.
Tests intrinsic motivation for data engineering and whether the candidate turns continuous learning into practical impact.
Tests your SQL performance tuning approach for large-scale datasets.
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Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.
ADPAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreUse joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.
Qlik