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Data Engineer in Java

Updated 05/2026
Develop essential Java skills for data engineering, from file processing and database integration to performance optimization.
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Java
27 hr

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Track Description

Data Engineer in Java

Java powers data systems at companies worldwide, making it essential for data engineers working with enterprise applications. This track prepares you to build and maintain these systems from the ground up. You'll start with Java fundamentals and progress through object-oriented programming, file handling, and data import techniques using industry tools like Tablesaw. Learn to integrate with PostgreSQL databases using JDBC, implement secure parameterized queries, and handle batch operations. Complete the track by mastering data cleaning workflows and code optimization techniques that keep your applications fast and reliable.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to Java

    Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

  • Course

    2

    Intermediate Java

    Learn to write cleaner, smarter Java code with methods, control flow, and loops.

  • Course

    4

    Data Types and Exceptions in Java

    Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

  • Course

    5

    Input/Output and Streams in Java

    Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

  • Course

    6

    Importing Data in Java

    Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

  • Course

    8

    Cleaning Data in Java

    Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

  • Course

    9

    Optimizing Code in Java

    Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

Data Engineer in Java
9 Courses
Track
Complete

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