Pyspark data engineering training

Job ID: 37606063

Budget: $250 – $750 USD

I am a beginner/intermediate in Pyspark and I am looking for a training program that focuses on data processing. I prefer one on one and written guides as the format for the training.

Skills and Experience Required:

- Strong expertise in Pyspark and data engineering

- Excellent knowledge of data processing techniques

- Experience in creating and optimizing data pipelines

- Familiarity with data manipulation and transformation using Pyspark

- Ability to explain complex concepts in a clear and concise manner through written guides

- Understanding of best practices for data processing in Pyspark

Training Topics:

The training should primarily focus on data processing. The following topics should be covered:

- Introduction to Pyspark and its ecosystem

- Data ingestion and extraction techniques

- Data cleaning and preprocessing

- Exploratory data analysis using Pyspark

- Applying various data processing operations and transformations

- Working with structured, semi-structured, and unstructured data

- Performance optimization and tuning of Pyspark jobs

- Error handling and debugging techniques in Pyspark

Deliverables:

- Comprehensive written guides covering the above-mentioned topics

- Practical examples and exercises for hands-on learning

- Clear explanations of concepts and step-by-step instructions
Related categories: Python Data Processing Spark PySpark Data Engineer