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 daily.
Design a Databricks Lakehouse pipeline and justify when to use Spark RDDs, DataFrames, or Datasets for scalable ETL and streaming.
Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.
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.
Assesses understanding of Spark execution behavior and how design choices impact runtime outcomes.
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 completed revenue and rank customers within each region, including customers with no qualifying orders.
EXL ServiceAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Inc.
Benjamin Moore