Data Engineering with Airflow, Spark
Master data engineering fundamentals with Apache Airflow for workflow orchestration and Apache Spark for large-scale data processing in modern data platforms.
Course Highlights
Pricing by Format
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Course Overview
Learn to build robust, scalable data pipelines using industry-standard tools. Master workflow orchestration with Airflow and large-scale data processing with Spark to become a proficient data engineer.
Learning Objectives
Tools & Technologies
Course Details
Prerequisites
Strong SQL skills and Python programming experience. Understanding of databases and data structures.
Certification
Spraditech Data Engineering Professional Certificate
Detailed Curriculum
Module 1: Data Engineering Fundamentals
Module 2: Workflow Orchestration with Airflow
Module 3: Big Data Processing with Spark
Module 4: Advanced Data Engineering
Course Categories
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Career Opportunities
Graduates from this program typically pursue these high-demand roles:
Data Engineer
Big Data Engineer
Data Architect
ETL Developer
Average Salary Range
Based on our graduate placement data in Nigeria and internationally
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Join thousands of successful graduates who have transformed their careers with Spraditech Digital Solutions.
💳 Flexible payment plans available • 🎓 Job placement guarantee • 📞 Free career counseling
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