FAANG-ready Data Engineer (Specialist)

The FAANG-ready Data Engineer (Specialist) course is an advanced program designed to equip data engineers with specialized skills and in-depth knowledge required to excel in demanding roles at top-tier technology companies like FAANG. Through a comprehensive curriculum spanning seven modules, students will delve deep into SQL mastery, Python proficiency, PySpark, Apache Airflow, advanced data modeling, and Spark optimization techniques.

Highlights of What You Will Learn:

SQL Mastery: Students will undergo a thorough review of basic SQL commands and techniques, followed by an exploration of advanced concepts such as window functions, common table expressions (CTEs), nested queries, and self-joins. Through practice problems and challenges, students will strengthen their SQL skills and gain confidence in handling complex data queries and manipulations.

Python for Data Engineering: Building upon their foundational knowledge, students will delve into advanced data structures, algorithms, and object-oriented programming (OOP) concepts in Python. You will learn to handle large datasets efficiently, integrate Python with SQL and PySpark, and leverage advanced Python libraries for data manipulation and analysis.

Introduction to PySpark and Big Data Ecosystem: Students will gain a deep understanding of Apache Spark and its ecosystem, including setting up PySpark environments and clusters, understanding Spark architecture, and mastering data ingestion and processing techniques. You will explore data lakes architecture and concepts through hands-on exercises with PySpark.

Apache Airflow for Workflow Orchestration: Students will learn the fundamentals of Apache Airflow, including concepts, components, and directed acyclic graphs (DAGs). They will master task scheduling, dependency management, and building data pipelines with Airflow. Integration with PySpark and data lakes will be covered to orchestrate complex data workflows effectively.

Capstone Projects and Portfolio Development: Students will engage in real-world data engineering projects, building end-to-end data pipelines and tackling performance optimization and scalability challenges. You will learn effective presentation and documentation skills for their projects and develop a comprehensive portfolio to showcase their skills to potential employers.