Data Engineer

Data engineers work in various settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.

Who is the Course for?

• a. The course is for individuals who want to become Data Engineers, whether they have a background in data, programming, or are beginners eager to work with large-scale data systems. It’s ideal for IT professionals, data enthusiasts, and graduates looking to specialize in building and managing data infrastructure.
• The course is designed for individuals aiming to become Data Engineers, whether they have prior experience in data management or programming or are newcomers eager to learn how to build and manage large-scale data systems. It’s perfect for those interested in creating data pipelines, optimizing databases, and ensuring the efficient flow of data within organizations, including IT professionals, data enthusiasts, and graduates looking to specialize in data infrastructure.
• What you will learn: Data engineering fundamentals and best practices, Building and managing data pipelines for efficient data flow, Working with databases (SQL and NoSQL) and data warehouses, Extract, Transform, Load (ETL) processes and tools, Programming for data engineering, primarily with Python or Scala, Cloud-based data solutions using AWS, Azure, or Google Cloud, Big Data technologies such as Apache Hadoop and Spark, Data governance, security, and compliance, Optimizing database performance and scalability, Real-time data processing and stream analytics.

Skills you will acquire

• Designing and managing data pipelines
• Proficiency with SQL and NoSQL databases
• Implementing ETL processes and using ETL tools
• Programming in Python or Scala for data engineering tasks
• Utilizing cloud-based data solutions (AWS, Azure, Google Cloud)
• Working with Big Data technologies like Hadoop and Spark
• Ensuring data governance, security, and compliance
• Optimizing database performance and scalability
• Handling real-time data processing and stream analytics
• Industry you can work in with the skills: The same as industry listed above but not limited to it.