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The Data Engineer course is crafted to equip learners with the technical skills needed to design, build, and maintain robust data infrastructure and pipelines. This course covers core topics such as data warehousing, ETL (Extract, Transform, Load) processes, big data technologies, and cloud-based data solutions. Learners will gain hands-on experience with tools and platforms like SQL, Python, Apache Spark, Hadoop, and AWS or Google Cloud services.

Ideal for individuals pursuing a career in data engineering or transitioning from software or database roles, this course emphasizes both theory and practical implementation. Through real-world projects, students will develop the ability to manage large datasets, optimize data flow, and support analytics teams with reliable data architecture. Upon completion, participants will be prepared for roles such as Data Engineer, ETL Developer, or Big Data Engineer in tech-driven industries.

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