Job Description:
Familiar with Python (preferred) and/or SQL; familiar with basic programming and scripting concepts.
Familiar with data engineering fundamentals: ETL/ELT, data modeling concepts, data validation, and pipeline basics.
Familiar with data tools/platforms is a plus: Spark, Airflow, dbt, Kafka, cloud data platforms, or Elasticsearch (optional).
Familiar with basic analytics / statistics concepts; familiar with Data Science & AI/ML workflow basics (data prep → training → evaluation).
Best-have: Familiar with security data / SIEM concepts, common log formats, or security analytics.
Requirements:
Major in Computer Science / Data Science / Information Systems / Engineering or related fields.