Familiar with SQL and basic concepts of relational databases.

Interest in big data and data architecture; exposure to tools like Hadoop, Spark, or Kafka is a plus.

Exposure to Google Analytics, Adobe Analytics, or GCP (e.g. BigQuery, Cloud Storage) is an advantage.

Basic understanding of data privacy and PII handling is a plus.

Enthusiastic about exploring and working with unstructured and disconnected datasets.

Willingness to learn data pipeline and workflow tools like Airflow, Luigi, or Composer.

Strong analytical thinking and eagerness to solve real business problems with data.