Janus Henderson Investors Data Engineer Interview Questions

The questions to prepare for a Janus Henderson Investors Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

Batch vs Streaming Data Processing

Easy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch Processing

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Handling Missing Data in Pipelines

Medium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch Processing

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Real-Time Dashboard Data Pipeline

Medium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestration

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Visualization Tools for Analytics Pipelines

Easy

Discuss which visualization tools fit different analytics pipeline needs, and why warehouse integration and monitoring matter.

ToolsData ModelingQuality

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Data Integration Tools Experience

Easy

Discuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.

InfrastructureToolsETL

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Data Transformation Function

Easy

Tests your coding ability to implement reliable data transformations with correct handling of inputs.

Hash TablesArraysStrings

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