Top 18
Prep plan
Updated weekly · Last refresh Sep 10

First horizon bank Data Engineer Interview Questions

The questions to prepare for a First horizon bank Data Engineer interview. Questions from real interview reports rank first. Updated daily.

18questions
~2htotal time
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1
CodingStart here. 3 questions · ~24 min
First-Class Functions in PythonMedium

Evaluates your understanding of Python function objects and how they are used in real code.

pythonFirst horizon bank
Python De-duplicationEasy

Tests your ability to implement correct and efficient Python data processing logic.

pythonFirst horizon bank
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2
Pipelines7 questions · ~57 min
Python and Spark FundamentalsMedium

Assesses your core knowledge of Python data types and modern big data storage and processing.

parquetsparkhadoopFirst horizon bank
Python OOP and Spark ConceptsMedium

Tests your Python fundamentals and ability to connect them to Spark-based data processing work.

sqlpythonsparkFirst horizon bank
SQL and Airflow in PipelinesMedium

Evaluates your end-to-end pipeline thinking across SQL, Airflow orchestration, and data validation.

sqlairflowFirst horizon bank
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3
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Optimize SQL for ScaleHard

Tests query optimization skills, indexing, and performance tuning for large-scale data workloads.

Performance Tuningquery optimizationsqlFirst horizon bank
SQL vs NoSQL Trade-offsMedium

Tests your ability to select appropriate storage technologies based on workload and constraints.

Trade-offstechnical knowledgeFirst horizon bank
Schema Design and DatabasesMedium

Tests your understanding of schema design, database selection, and modeling for analytics and pipelines.

schema designtechnical experienceFirst horizon bank
SQL Bookstore Schema PracticeEasy
Practice
Practice drill

Use a CTE, joins, and distinct aggregates to calculate Meta Logistics bookstore payment metrics.

sql queriessqlpythonMeta Logistics
SQL and Python Data WorkMedium
Practice
Practice drill

Use a CTE, join, and conditional aggregation to summarize valid monthly user activity.

JoinsData ManipulationsqlAdobe
SQL, Power BI, and Python BasicsMedium
Practice
Practice drill

Calculate completed order totals per customer using a join, aggregation, NULL handling, and spending classification.

JoinsCase WhensqlAccenture
4
Behavioral & Leadership5 questions · ~41 min
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The finish line: interview-readyComplete all 18 questions plus 3 hands-on drills to finish this plan.