PySpark & Airflow: ETL DataFrames & DAG Orchestration
The Big Data Processing with PySpark and Apache Airflow course by Koenig Original equips data engineers and analytics engineers with skills to build scalable data pipelines, solving the critical industry challenge of orchestrating complex workflows. With Apache Airflow cited in 67% of data engineering teams, this training delivers in-demand expertise in distributed processing and workflow automation using PySpark and Airflow.
This course prepares learners for the Astronomer Certification for Apache Airflow® DAG Authoring exam, leveraging Koenig’s Guaranteed-to-Run live training. Graduates gain hands-on proficiency in DAG design and orchestration, positioning them to lead reliable, production-grade data pipeline development in modern data platforms.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Big Data Processing with PySpark and Apache Airflow course by Koenig Original is designed for data engineers, analytics engineers, and machine learning engineers seeking expertise in distributed data processing and workflow orchestration. While no official certification exam code is assigned specifically to this Koenig Original program, the curriculum aligns with industry-recognized standards such as the Astronomer Certified DAG Authoring credential for Apache Airflow. This training serves professionals targeting roles like Data Engineer, Big Data Platform Engineer, and MLOps Engineer, where demand is surging—Apache Airflow appears in 36% of Data Engineer job postings, and over 77,000 organizations globally use it for mission-critical operations. The course equips learners with essential skills to manage large-scale datasets and automate complex data workflows efficiently.
Participants engage with key technologies including PySpark, Apache Airflow, AWS S3, Azure Blob Storage, Google Cloud Storage, and Kubernetes, gaining hands-on experience through practical labs conducted in a cloud-based lab environment that mirrors real enterprise setups. Students build and deploy production-grade Directed Acyclic Graphs (DAGs), configure cross-cloud integrations, and implement CI/CD pipelines for data workflows. A core project involves designing an end-to-end ETL pipeline that ingests data from multiple sources, processes it using PySpark on Kubernetes, orchestrates execution via Airflow, and stores results across cloud platforms—simulating realistic big data challenges faced in modern data infrastructure environments.
This course prepares learners for advanced roles in data engineering and MLOps, with certification pathways like the Astronomer Certified DAG Authoring exam enhancing professional credibility. Certified practitioners report average salaries of $133,080, reflecting the high market value of these skills. Koenig Original differentiates itself with Guaranteed-to-Run live training, official courseware, and flexible 1-on-1 instructor-led sessions, ensuring personalized support and exam readiness. Graduates emerge ready to design, optimize, and manage scalable data pipelines, positioning them for career advancement into senior data engineering and data platform architecture roles in top-tier tech organizations.
What You'll Learn
Skills You'll Gain
Prerequisites
- Proficiency in Python programming is essential for mastering Big Data Processing with PySpark and Apache Airflow by Koenig Original, enabling effective data analysis and automation.
- Understanding of SQL and relational databases helps in managing structured data efficiently within the Big Data Processing with PySpark and Apache Airflow course.
- Familiarity with distributed systems concepts is crucial for optimizing performance in Big Data Processing with PySpark and Apache Airflow, as it covers scalable data solutions.
- Working knowledge of Apache Spark and RDD/DataFrame API is necessary to leverage the full potential of Big Data Processing with PySpark and Apache Airflow.
- Experience with workflow orchestration principles and tools ensures smooth data pipeline automation in Big Data Processing with PySpark and Apache Airflow.
- Hands-on experience with data pipeline design and ETL processes is vital for implementing real-world data workflows in Big Data Processing with PySpark and Apache Airflow.
Certification Exam
Everything you need to know about the PySpark & Airflow: ETL DataFrames & DAG Orchestration certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Mastering Big Data Engineering Foundations with PySpark
2
Day 2– Data Modeling and Lakehouse Architecture
3
Day 3– Data Ingestion and PySpark ETL Workflows
4
Day 4– Spark SQL Optimization and SCD Logic
5
Day 5– Orchestration with Apache Airflow and PySpark
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Career Outcomes
of PySpark & Airflow: ETL DataFrames & DAG Orchestration certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the PySpark & Airflow: ETL DataFrames & DAG Orchestration certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Data Engineer
- ETL Developer
- Data Pipeline Engineer
- Workflow Automation Engineer
- Airflow Developer
- Senior Data Engineer
Companies Hiring
and 5,000+ organizations worldwide seeking PySpark & Airflow: ETL DataFrames & DAG Orchestration certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
-
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
-
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified
-
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the PySpark & Airflow: ETL DataFrames & DAG Orchestration training course
Is the certification exam included in the Big Data Processing with PySpark and Apache Airflow course fee?
What training formats are available for Big Data Processing with PySpark and Apache Airflow?
How long is lab access provided for the Big Data Processing with PySpark and Apache Airflow course?
What is the Koenig rescheduling and cancellation policy for this Big Data Processing course?
What is the exam format for the Astronomer Certified DAG Authoring credential?
How long is the certification valid, and what is the renewal process?
What post-training support does Koenig provide after course completion?
What are the recommended prerequisites for the Big Data Processing with PySpark and Apache Airflow certification?
What is the duration of the Big Data Processing with PySpark and Apache Airflow course?
What career opportunities follow Big Data Processing with PySpark and Apache Airflow training?
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