Coding: You might be asked to solve coding challenges related to data manipulation, algorithms, or data structures. This assesses your coding skills in languages like Python, SQL, or Java. Data Modeling: Expect questions on data modeling concepts, schema design, normalization, and denormalization. Database Knowledge: Knowledge of SQL, database management, optimization techniques, and working with different types of databases (relational, NoSQL) is critical. ETL: Questions may focus on Extract, Transform, Load (ETL) processes, data pipelines, and tools like Apache Spark, Apache Airflow, or Informatica. Big Data Tools: Familiarity with frameworks like Hadoop, Apache Kafka, Apache Hive, or Apache HBase may be evaluated.