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Serverless Data Processing with Dataflow

Serverless Data Processing with Dataflow teaches cloud engineers and data engineers how to build scalable, cost-effective data pipelines using Google Cloud’s fully managed service. It solves the critical pain point of managing infrastructure complexity while handling high-volume, real-time data workloads. With over 535,000 professionals holding advanced Google Cloud certifications, demand for certified data engineers is growing rapidly.

This course prepares learners for the Professional Data Engineer certification, which validates expertise in designing data processing systems on Google Cloud. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, enabling hands-on mastery of Dataflow pipelines. Graduates gain the skills to deploy reliable, secure data platforms that drive enterprise innovation.

24 Hours (3 Days)
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0+ professionals trained

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Course Overview

Serverless Data Processing with Dataflow by Google is a comprehensive training series designed for data engineers, cloud architects, and analytics professionals preparing for the Google Cloud Professional Data Engineer certification. This course equips learners with advanced skills in building scalable, serverless data pipelines using Apache Beam and Cloud Dataflow, directly aligning with the exam’s “Ingesting and processing the data” and “Designing data processing systems” domains. With over 7,000 GCP data engineering roles open in the U.S. alone and BigQuery adoption growing rapidly among enterprises, demand for certified professionals who can design efficient, secure, and portable data workflows is at an all-time high.

The course leverages hands-on labs within the Qwiklabs environment, where students build real-world streaming and batch pipelines using core Google Cloud services including Cloud Dataflow, Apache Beam, Pub/Sub, BigQuery, Cloud Storage, and Cloud Monitoring. Learners configure end-to-end data workflows such as ingesting JSON-formatted sensor data from Pub/Sub, applying transformations with windowing, triggers, and watermarks, and writing results to BigQuery with error handling via dead-letter tables. One key project involves optimizing a Dataflow pipeline for autoscaling and cost efficiency while ensuring exactly-once processing semantics, mirroring actual production challenges faced by data teams at scale.

This training prepares candidates for the Google Cloud Professional Data Engineer certification, a globally recognized credential validating expertise in designing and managing data processing systems on Google Cloud. Certified professionals command competitive salaries, with U.S.-based data engineers earning between $130,000 and $200,000 annually, and higher total compensation at top tech firms. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official Google Cloud courseware, and expert-led instruction, ensuring deep mastery of Dataflow operations, security models, and CI/CD practices. Completing this program positions professionals to lead resilient, high-performance data platforms in modern cloud-driven organizations.

What You'll Learn

Configure security models for Google Cloud Dataflow to safeguard your serverless data processing workflows
Implement streaming pipelines with windows, watermarks, and triggers to handle real-time data efficiently
Deploy Dataflow pipelines using Flex Templates for flexible and scalable serverless data processing
Monitor job performance with Google Cloud Metrics Explorer to ensure optimal pipeline operation
Optimize pipeline performance using State and Timer APIs to enhance processing speed and reliability
Troubleshoot Dataflow jobs using Cloud Logging and Error Reporting to quickly resolve issues and maintain data accuracy

Prerequisites

Recommended knowledge before taking this course
  • Completed the 'Building Batch Data Pipelines on Google Cloud' course, gaining foundational skills in data pipeline design
  • Completed the 'Building Resilient Streaming Analytics Systems on Google Cloud' course, enhancing real-time data processing expertise
  • Understanding of the Apache Beam programming model used in Serverless Data Processing with Dataflow, including PCollections, transforms, and pipelines
  • Familiarity with essential streaming concepts such as unbounded PCollections, windows, watermarks, and triggers, critical for effective dataflow management
  • Hands-on experience configuring Google Cloud IAM permissions and service accounts to ensure secure data processing environments
  • Basic proficiency in creating data processing pipelines using SQL or DataFrames, enabling efficient serverless data workflows
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Certification Exam

Everything you need to know about the Serverless Data Processing with Dataflow certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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What's Included in Your Training

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

Career Outcomes

80%

of Serverless Data Processing with Dataflow certified professionals report career advancement within 6 months

Salary Impact

+25%

Average salary increase reported after obtaining the Serverless Data Processing with Dataflow 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
  • Expert Data Engineer
  • Cloud Data Engineer
  • BigQuery Specialist
  • Data Platform Engineer
  • Cloud ETL Developer
  • Streaming Analytics Engineer

Companies Hiring

5,000+
Google Spotify The Trade Desk Deloitte Accenture Cognizant Roku Warner Bros Discovery Magnite Disney Streaming

and 5,000+ organizations worldwide seeking Serverless Data Processing with Dataflow certified professionals

Real Transformations

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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.”

    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.

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    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
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    Head of L&D, UK Enterprise

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  • ★★★★★

    “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
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    “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 Serverless Data Processing with Dataflow training course

Is the certification exam included in the Serverless Data Processing with Dataflow course, and what is the exam fee if separate?
The Serverless Data Processing with Dataflow course by Google does not include the exam. It maps to the Google Cloud Professional Data Engineer certification, priced at $200 plus tax. Purchase your exam separately via the Google Cloud portal; Koenig Solutions provides optional vouchers.
What training formats are available for Serverless Data Processing with Dataflow, and is Guaranteed-to-Run scheduling offered?
Koenig Solutions delivers Serverless Data Processing with Dataflow via live online, 1-on-1, classroom, and self-paced Flexi formats. All sessions feature Guaranteed-to-Run scheduling. This ensures your training proceeds regardless of enrollment numbers, providing reliable, flexible learning options across all global time zones.
How long is lab access provided, and what environment is used for hands-on exercises in this course?
Serverless Data Processing with Dataflow includes 30 days of lab access via the Koenig LET Platform. You will use real Google Cloud-hosted sandbox environments. These cloud labs allow you to build and manage Dataflow pipelines in production-equivalent settings without complex local machine configurations.
What is Koenig's rescheduling and cancellation policy for this course, and are there any fees?
Reschedule your Serverless Data Processing with Dataflow course for free if you notify us over 10 days before start. Cancellations or changes within 10 days incur a 50% fee. Per our Terms of Service, each enrollment allows for one single reschedule request.
What is the format, number of questions, passing score, and time limit for the associated Google Cloud certification exam?
The Professional Data Engineer exam for Serverless Data Processing with Dataflow contains 40–50 multiple-choice questions. You have 2 hours to complete it. While Google does not disclose a passing percentage, you must prove mastery in data pipeline design, processing, and operational excellence.
How long is the Professional Data Engineer certification valid, and what is the renewal process and cost?
Your Professional Data Engineer certification remains valid for two years. To renew, retake the $200 exam or complete approved Google Skills courses. Start your renewal process within 60 days of expiration to maintain your active status and professional Series ID.
What post-training support does Koenig provide after completing the Serverless Data Processing with Dataflow course?
After Serverless Data Processing with Dataflow, Koenig offers 30 days of support, including trainer access, session recordings, and practice tests. Flexi learners gain 6 hours of dedicated doubt-clearing sessions and Qubits access for self-assessment to ensure long-term retention of your new skills.
What prerequisites or prior experience are recommended for enrolling in the Serverless Data Processing with Dataflow course?
Before Serverless Data Processing with Dataflow, complete Google’s 'Building Batch Data Pipelines' and 'Building Resilient Streaming Analytics Systems' courses. We strongly recommend prior experience with Apache Beam, Dataflow, and foundational Java or Python to master this intermediate-level technical curriculum.
What is the typical salary impact or career advancement opportunity after completing this course and earning the certification?
Google Cloud Professional Data Engineer certification holders earn a median salary of $158,000. Data shows 85% of learners achieve career advancement within six months. This course builds expertise in scalable pipeline development, making you a top candidate for senior cloud architecture roles.
How does instructor-led training from Koenig compare to self-study options for mastering Serverless Data Processing with Dataflow?
Koenig’s instructor-led training for Serverless Data Processing with Dataflow provides expert guidance, live Q&A, and hands-on labs that outperform unguided self-study. With Guaranteed-to-Run batches and 30-day lab access, you gain higher engagement, deeper technical insights, and superior exam readiness than independent study.
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