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Track

Professional Data Engineer in Python

Dive deep into advanced skills and state-of-the-art tools revolutionizing data engineering roles today with our Professional Data Engineer track.

  • Python
  • Data Engineering
  • 40 hr
  • 13,629

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Track Description

Professional Data Engineer in Python

Take your skills to the next level with our Professional Data Engineer track. This advanced track is designed to build on the Associate Data Engineer in SQL and Data Engineer in Python tracks. It equips you with the cutting-edge knowledge and tools demanded by modern data engineering roles. Throughout this journey, you'll master modern data architectures, enhance your Python skills with a deep dive into object-oriented programming, explore NoSQL databases, and harness the power of dbt for seamless data transformation. Unlock the secrets of DevOps with essential practices, advanced testing techniques, and tools like Docker to streamline your development and deployment processes. Immerse yourself in big data technologies with PySpark and achieve mastery in data processing and automation using shell scripting. Engage in hands-on projects and tackle real-world datasets to apply your knowledge, debug complex workflows, and optimize data processes. By completing this track, you'll not only gain the advanced skills needed to conquer complex data engineering challenges but also the confidence to apply them in the dynamic world of data engineering.

Prerequisites

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.