Data Engineering & Big Data: Master Mock Interviews

Data Engineering & Big Data: Master Mock Interviews

Test your skills in Apache Spark, Kafka Streaming, Cloud Data Warehousing (Snowflake), and Orchestration (Airflow/dbt).



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  • Other IT & Software

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Objectives

  • Evaluate your Distributed Processing skills, solving massive data skew and OOM errors using Apache Spark.
  • Test your proficiency in Cloud Data Warehousing, optimizing costs and architecture in Snowflake and BigQuery.
  • Assess your Real-Time Streaming knowledge, configuring Apache Kafka consumer groups, partitions, and log compaction.
  • Validate your Data Orchestration and Modeling skills, mastering DAG idempotency in Airflow and modular SQL in dbt.


Pre Requisites

  1. A strong foundation in SQL and Python. Familiarity with general database concepts and data pipelines (ETL/ELT). A desire to pass difficult technical interviews for mid-to-senior level Data Engineering roles.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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