Data Engineering: PySpark, Azure & Airflow
<b>Enterprise Data Engineering and Big Data Analytics</b> is a dynamic course designed to equip learners with essential skills in managing and analyzing vast data landscapes. Participants will explore critical concepts such as <b>data ingestion</b>, <b>data transformation</b>, and <b>data storage</b> strategies, all aimed at optimizing data flow and accessibility. The learning objectives focus on understanding <b>big data frameworks</b>, working with <b>cloud technologies</b>, and mastering real-time analytics.<br><br>By the end of the course, attendees will be able to effectively implement data pipelines and utilize advanced analytical techniques to drive business insights. This practical knowledge empowers students to transform complex data into actionable strategies, enhancing their professional capabilities in today's data-driven world.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Enterprise Data Engineering and Big Data Analytics course by Koenig Original is designed for IT professionals, data analysts, and software developers seeking to master the design and implementation of scalable data solutions. This comprehensive program prepares learners for the evolving demands of modern data ecosystems, focusing on building robust pipelines and managing large-scale data environments. It serves roles such as Data Engineer, Big Data Architect, and Senior Data Analyst—positions critical in organizations leveraging data for strategic decisions. According to industry reports, the global big data market is projected to reach $103 billion by 2027, with over 90% of Fortune 500 companies investing in advanced data engineering capabilities, underscoring the high demand for certified professionals in this domain.
Participants gain hands-on experience with key technologies including Apache Spark, HDFS, Delta Lake, PostgreSQL, Apache Airflow, and Kafka within a structured lab environment using real-world tools like the Apache Hop interface and PySpark shell. The course includes guided labs where students build end-to-end ETL pipelines, implement CDC (Change Data Capture) in PostgreSQL, configure DAGs in Airflow, and process streaming data using Spark Streaming. A highlight project involves constructing a medallion architecture with Bronze, Silver, and Gold data layers, incorporating ingestion, transformation, and validation workflows. These practical exercises are conducted in a dedicated lab setup that mirrors enterprise deployment scenarios, ensuring skills are directly transferable to production environments.
This Koenig Original training prepares candidates for professional recognition in data engineering, aligning with foundational competencies required for certifications like CCC Big Data Foundation and enterprise-level data roles. Certified data engineers earn an average salary of $120,000 annually in the U.S., with senior architects commanding up to $160,000, according to recent labor market analytics. A key differentiator of Koenig’s offering is its Guaranteed-to-Run delivery model—ensuring every course runs regardless of enrollment size—alongside access to official courseware and expert-led instruction. Graduates emerge ready to lead data infrastructure initiatives, drive analytics excellence, and advance into leadership roles shaping enterprise data strategy.
What You'll Learn
Skills You'll Gain
Prerequisites
- Intermediate proficiency in SQL and relational database management systems such as PostgreSQL or MySQL is required for Enterprise Data Engineering and Big Data Analytics by Koenig Original.
- Minimum 1 year experience with ETL processes, including both batch and streaming data ingestion workflows.
- Understanding of distributed computing concepts and big data architectures, specifically Lambda and Kappa architectures.
- Intermediate proficiency in Python programming with a focus on data processing, automation, and analytical libraries.
- Familiarity with data modeling techniques including Star Schema, Snowflake, and Medallion Architecture for effective data organization.
- Working knowledge of Apache Spark and HDFS fundamentals, including RDDs, DataFrames, and cluster architecture.
- Ability to configure a local Spark or Hadoop environment or utilize a cloud-based sandbox for hands-on exercises.
Certification Exam
Everything you need to know about the Data Engineering: PySpark, Azure & Airflow certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Enterprise Data Engineering Fundamentals
2
Day 2– Data Modeling and Lakehouse Design
3
Day 3– Data Ingestion and Batch ETL
4
Day 4– Change Data Capture and SCD
5
Day 5– Orchestration with Apache Airflow
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 Data Engineering: PySpark, Azure & Airflow certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Data Engineering: PySpark, Azure & Airflow certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Data Engineer
- Big Data Engineer
- ETL Developer
- Data Pipeline Engineer
- Analytics Engineer
- Data Platform Specialist
Companies Hiring
and 5,000+ organizations worldwide seeking Data Engineering: PySpark, Azure & Airflow certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
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★★★★★
“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 Data Engineering: PySpark, Azure & Airflow training course
Is the certification exam included in the Enterprise Data Engineering and Big Data Analytics course fee, and what is the cost if separate?
What training formats are available for the Enterprise Data Engineering and Big Data Analytics course, and is Guaranteed-to-Run scheduling offered?
How long is lab access provided, and what type of environment is used for hands-on exercises in this course?
What is Koenig's rescheduling and cancellation policy for the Enterprise Data Engineering and Big Data Analytics training?
What is the format, duration, number of questions, and passing score for the Enterprise Data Engineering and Big Data Analytics certification exam?
How long is the Enterprise Data Engineering and Big Data Analytics certification valid, and what is the renewal process?
What post-training support does Koenig provide after completing the Enterprise Data Engineering and Big Data Analytics course?
What prerequisites or prior experience are recommended for enrolling in the Enterprise Data Engineering and Big Data Analytics course?
What is the average salary impact and career progression after completing the Enterprise Data Engineering and Big Data Analytics certification?
How does instructor-led training for Enterprise Data Engineering and Big Data Analytics compare to self-study in terms of success rates and skill retention?
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