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AWS Data Engineering: PySpark, Glue & Lambda

The Comprehensive AWS Data Engineering with Python and Lambda course by Koenig Original equips data engineers and cloud developers with hands-on skills to build scalable data pipelines using Python, PySpark, AWS Glue, and Lambda. It solves the critical industry challenge of processing high-velocity data, where 73% of enterprises now prioritize serverless architectures for agility. Designed for professionals with 1–2 years of AWS experience, it delivers 80 hours of live training to master ETL workflows, real-time streaming, and cloud integration.

This course prepares learners for the AWS Certified Data Engineer - Associate (DEA-C01) exam, with Koenig’s Guaranteed-to-Run scheduling ensuring training proceeds on time, even with a single participant. Graduates gain the expertise to deploy cost-optimized, secure data solutions on AWS, accelerating career advancement in high-demand cloud roles.

80 Hours (10 Days)
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34+ professionals trained

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Course Overview

The Comprehensive AWS Data Engineering with Python and Lambda by Koenig Original is an intensive 80-hour training program designed for aspiring data engineers, ETL developers, and cloud data analysts seeking expertise in modern serverless data pipelines. This course prepares learners for the AWS Certified Data Engineer - Associate (DEA-C01) certification, aligning with AWS’s official exam blueprint. Participants gain hands-on experience in building scalable data solutions using Python, PySpark, and AWS Lambda, addressing real-world challenges in data ingestion, transformation, and orchestration. With over 80% of Fortune 500 companies adopting AWS for data workloads, this course equips professionals with in-demand skills to meet industry needs for cloud-native data engineering.

Students engage with core AWS services including Amazon S3, AWS Glue, Lambda, DynamoDB, Kinesis, and Step Functions within the AWS Management Console lab environment. The course emphasizes practical learning through hands-on labs where students build and deploy serverless data pipelines, such as an event-driven workflow that triggers Lambda functions from S3 uploads to process and transform CSV data into Parquet format, store it in a data lake, and catalog it using AWS Glue. Learners also implement real-time streaming pipelines using Kinesis and Lambda, simulating scenarios like stock market data processing, while applying Infrastructure as Code (IaC) via AWS SAM for deployment automation.

This training directly supports preparation for the AWS Certified Data Engineer - Associate (DEA-C01) certification, a credential recognized globally for validating cloud data engineering proficiency. Certified professionals report average salaries of $135,000 annually, with strong demand in fintech, healthcare, and e-commerce sectors. Koenig Original differentiates itself with Guaranteed-to-Run batches and access to official courseware, ensuring consistent scheduling and up-to-date content. Upon completion, graduates are positioned to advance into roles such as Senior Data Engineer or Cloud Data Architect, driving data strategy in enterprise environments.

What You'll Learn

Set up Python environments tailored for data engineering with Koenig Original's comprehensive AWS Data Engineering with Python and Lambda course
Apply data transformation techniques using PySpark DataFrames on AWS cloud infrastructure
Create efficient ETL pipelines leveraging AWS Glue integrated with Koenig Original's proven methodologies
Deploy scalable serverless data processing functions using AWS Lambda for real-time analytics
Coordinate complex data workflows with AWS Step Functions combined with Koenig Original labs for seamless automation
Enhance AWS Glue job performance and reduce costs through targeted optimization and monitoring strategies

Skills You'll Gain

AWS S3 AWS Glue Python Pandas AWS Lambda Functions AWS Kinesis AWS Athena AWS Redshift ETL Pipelines Data Ingestion Serverless Data Processing AWS Step Functions Data Transformation AWS EMR Real-time Analytics Data Lake Architecture Lambda Triggers AWS Data Pipeline

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming, including variables, control flow, functions, and modules.
  • Foundational knowledge of AWS core services, specifically S3, IAM, Lambda, and CloudWatch.
  • Experience working with data structures and common file formats such as CSV, JSON, and Parquet.
  • Familiarity with Apache Spark and PySpark DataFrames for large-scale data processing.
  • Practical understanding of event-driven architecture design using AWS Lambda.
  • Knowledge of ETL/ELT pipeline concepts and data transformation techniques.
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Certification Exam

Everything you need to know about the AWS Data Engineering: PySpark, Glue & Lambda certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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AWS Data Engineering: PySpark, Glue & Lambda

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Comprehensive AWS Data Engineering with Python and Lambda Fundamentals
Defining Modern Data Engineering Overcoming Big Data Processing Hurdles Python Utility in Data Engineering Mastering Core Python Programming Optimizing Functions and Modular Code Managing Lists, Tuples, and Dictionaries Advanced String and Regex Processing Configuring Professional Python Environments
2
Day 2– Apache Spark and PySpark Data Engineering Essentials
Architecting Apache Spark Frameworks Deploying Scalable Spark Environments Interacting via SparkSession Interfaces Engineering High-Performance DataFrames Ingesting CSV, JSON, and Parquet Executing PySpark Data Cleaning Resolving Missing Values and Outliers Scaling Transformations with PySpark
3
Day 3– Advanced Data Analysis and PySpark Optimization
Deep Data Exploration with PySpark Executing Statistical Mean and StdDev Advanced Grouping and Data Aggregation Implementing Window Functions for Insights Optimizing Inner, Left, Right Joins Performing DataFrame Union and Intersection Boosting Performance with Broadcast Joins Processing Complex Nested DataFrames
4
Day 4– Structured Streaming and AWS Glue Pipeline Integration
Principles of Structured Streaming Constructing Real-time Data Pipelines Applying Streaming Data Windowing Deploying PySpark on AWS EMR Maximizing Cloud Storage Efficiency Leveraging AWS Glue Service Capabilities Automating ETL Pipelines with Glue Monitoring and Scheduling Glue Jobs
5
Day 5– Serverless Data Engineering with AWS Lambda and Python
Architecting with AWS Lambda Developing Python-based Lambda Functions Automating S3-Triggered Data Ingestion Standardizing Lambda Logging and Errors Transforming Data within Lambda Functions Integrating Lambda with DynamoDB Tables Processing Streams via AWS Kinesis Orchestrating Workflows with Step Functions

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of AWS Data Engineering: PySpark, Glue & Lambda certified professionals report career advancement within 6 months

Salary Impact

+24%

Average salary increase reported after obtaining the AWS Data Engineering: PySpark, Glue & Lambda certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • AWS Data Engineer
  • Cloud Data Engineer
  • Python Data Engineer
  • Serverless Data Engineer
  • AWS ETL Developer
  • Data Pipeline Engineer

Companies Hiring

5,000+
Amazon Netflix Uber Accenture Deloitte Infosys TCS JPMorgan Chase Capital One Expedia

and 5,000+ organizations worldwide seeking AWS Data Engineering: PySpark, Glue & Lambda certified professionals

Real Transformations

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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    Engineering Manager

    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.”

    Rahul M.

    Rahul M.

    Azure Administrator

    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.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    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.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    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.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    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.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    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.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    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.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    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.”

    Rahul M.

    Rahul M.

    Azure Administrator

    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.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    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.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    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.”

    Rahul M.

    Rahul M.

    Azure Administrator

    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.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    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.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    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.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    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.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    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.”

    Aisha N.

    Aisha N.

    Security Analyst

    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.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    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.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    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.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    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.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    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.”

    David L.

    David L.

    AI Engineer

    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.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the AWS Data Engineering: PySpark, Glue & Lambda training course

Is the AWS certification exam included in the Comprehensive AWS Data Engineering with Python and Lambda course fee?
The AWS certification exam is not included in the base tuition. You can add an optional exam voucher for the AWS Certified Data Engineer - Associate exam, which costs $150 USD. Koenig facilitates separate voucher purchases. Indian residents pay INR 28,359 for lab-inclusive training, excluding the exam fee.
What training formats are available for the Comprehensive AWS Data Engineering with Python and Lambda course?
Koenig provides live instructor-led training in public and 1-on-1 formats. Our Guaranteed-to-Run (GTR) scheduling ensures classes proceed with even one participant. This 80-hour program uses Flexi Video and online classrooms, offering flexible weekday and weekend batches to fit your professional schedule.
How long is lab access provided, and what type of lab environment is used for this course?
Learners receive 4 hours of post-course lab access via the Koenig Learning Stack. You will work in a secure, cloud-based sandbox environment. These hands-on labs feature real AWS services like Lambda, Glue, S3, and DynamoDB, enabling you to build production-ready ETL pipelines and serverless data workflows.
What is Koenig's rescheduling and cancellation policy for this AWS Data Engineering course?
Koenig allows penalty-free rescheduling if requested at least 7 days before the start date. Cancellations within 7 days incur a 15% administrative fee, and requests within 48 hours are non-refundable. All rescheduling remains subject to availability and our Guaranteed-to-Run batch constraints.
What is the format, duration, and passing score of the AWS Certified Data Engineer - Associate exam?
The AWS Certified Data Engineer - Associate (DEA-C01) exam includes 65 multiple-choice and multiple-response questions. You have 130 minutes to complete the test. While the passing score is undisclosed, the exam covers data ingestion, transformation, pipeline orchestration, and AWS integration via Pearson VUE proctoring.
How long is the AWS Certified Data Engineer certification valid, and what is the renewal process?
The AWS Certified Data Engineer - Associate certification remains valid for 3 years. Recertification requires passing the current DEA-C01 exam. AWS does not offer automatic renewal; you must register and pay the $150 fee again, though existing AWS certification holders receive a 50% discount voucher.
What post-training support does Koenig provide after completing the AWS Data Engineering course?
Koenig offers comprehensive post-training support, including 4-hour revision sessions, access to recorded lectures, and reinforcement labs. You will also receive guidance on exam registration and 30 days of access to a Customer Success Manager for personalized certification planning and career development advice.
What are the prerequisites for the Comprehensive AWS Data Engineering with Python and Lambda course?
Participants should possess basic Python programming skills and familiarity with AWS core services like S3 and IAM. We recommend 6–12 months of cloud or data experience. This course is ideal for aspiring data engineers; foundational knowledge of JSON, CSV, and ETL concepts will significantly improve your learning outcomes.
What is the average salary impact after completing this AWS Data Engineering course and certification?
Professionals with AWS Certified Data Engineer skills earn between $120,000–$150,000 annually in the U.S., with entry-level roles starting at $95,000. In India, certified engineers earn ₹10–18 lakhs. Certification boosts job placement, with AWS-skilled professionals typically seeing a 30–40% salary increase over non-certified peers.
How does Koenig's Comprehensive AWS Data Engineering course compare to self-study for certification preparation?
Koenig provides 80 hours of structured live training, expert instruction, and hands-on labs, far surpassing unstructured self-study. Our guided learners achieve a 92% pass rate compared to ~60% for self-study candidates. We accelerate your mastery of PySpark, Glue, and Lambda, which are essential for the DEA-C01 exam.
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