Deutsche Telekom Data Engineer Interview Questions
The questions to prepare for a Deutsche Telekom Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.
Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.
A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.
Explain INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF JOINs with examples and when to use each.
Evaluates SQL proficiency for analytics transformations and data quality tasks in Hive.
Evaluates your ability to read execution plans and connect them to query performance issues.
Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.
eClinicalWorksNNeenOpal Canada
InformaticaUse joins, conditional aggregation, and ROW_NUMBER to find the three highest-churn Deutsche Telekom products in each region.
Tests whether you can translate complex engineering trade-offs into clear business decisions for non-technical stakeholders.
Normalize missing fields and detect duplicate records by composite keys using a hash map.
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