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Data Engineering is one of the fastest-growing roles in tech — and the demand far exceeds supply. But that doesn't mean landing a role is easy. Every Data Engineer listing still gets 100+ applicants, and the screening process often starts with technical questions in the application form itself.
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List specific tools: Spark, Airflow, dbt, Kafka, Flink
Include cloud data platforms: Snowflake, Databricks, BigQuery, Redshift
Add 'Analytics Engineer' and 'Data Platform Engineer' as variations
Mention programming languages: Python, Scala, SQL, Java
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