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    Data Engineer Sample CVs

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    What makes a strong Data Engineer CV

    • Highlight cloud data platform experience: AWS, Azure, GCP, Databricks, Snowflake
    • Show pipeline and ETL/ELT skills: Apache Spark, dbt, Airflow, Kafka, Fivetran
    • Include languages: Python, SQL, Scala — list specific libraries and frameworks
    • Demonstrate data modelling: star schema, data vault, dimensional modelling
    • Quantify impact: pipeline scale (rows/day), cost savings, or query performance improvements

    Key skills employers look for

    Data Pipelines

    ETL/ELT design, Apache Spark, Kafka, Airflow, dbt, batch and streaming pipelines

    Cloud Platforms

    AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), GCP, Databricks, Snowflake

    Programming

    Python, SQL, Scala, PySpark, pandas, data modelling, version control (Git)

    Data Architecture

    Data lake/lakehouse design, star schema, data vault, metadata management

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