Data Engineering Course - ZeroBug Academy

The Data Engineering Course at ZeroBug Academy is designed to help learners build a strong foundation in designing, developing, and managing large-scale data systems. This course provides hands-on experience with modern data tools and cloud technologies, enabling you to efficiently collect, process, and transform raw data into usable insights for analytics and business intelligence.

🕒 Course Duration

Total Duration: 90 Hours
Mode: Online / Offline
Schedule: Flexible (Weekdays or Weekends)

📗 What You’ll Learn

• Introduction to Data Engineering and Big Data Ecosystem

• Data Pipelines and ETL (Extract, Transform, Load) Concepts

• Python for Data Engineering (Pandas, NumPy, PySpark)

• SQL for Data Extraction and Transformation

• Working with Databases (MySQL, PostgreSQL, MongoDB)

• Data Warehousing Concepts (Snowflake, Redshift, BigQuery)

• Big Data Tools: Hadoop, Spark, and Kafka

• Cloud Platforms (AWS, Azure, GCP) for Data Pipelines

• Data Lake Architecture and Real-time Data Streaming

• Workflow Orchestration (Airflow / Prefect)

• Data Quality, Security, and Governance

• End-to-End Data Engineering Project

🎯 Course Outcome

By the end of this course, you’ll be able to:
✅ Design and implement scalable ETL data pipelines.
✅ Work with SQL, NoSQL, and distributed data systems.
✅ Process large datasets using Spark and Kafka.
✅ Deploy cloud-based data workflows using AWS / GCP.
✅ Build real-world data engineering projects for your portfolio.

🧩 Prerequisites

• Basic knowledge of Python and SQL (preferred, not mandatory).

• Curiosity to work with data and cloud technologies.