GCP DATA ENGINEER

GOOGLE CLOUD PROFESSIONAL (GCP) ONLINE TRAINING

A GCP (Google Cloud Platform) Data Engineer is a professional responsible for designing, implementing, and managing data solutions on Google Cloud. Their primary role is to ensure that data is collected, processed, and made available for analysis, reporting, and machine learning. Google Cloud Platform to enable organizations to harness the power of their data for insights, reporting, and machine learning

1731 Satisfied Learners

GCP DATA ENGINEER Training in Pune/ Online

Duration of Training  : 32 Hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training

 

Why Radical Technologies

100% Placement Guarantee for the Right Candidate

10+ Years Real Time Experienced Trainers

Learn from Industry Experts, Hands-on labs

Flexible Options: online, instructor-led, self-paced

14+ Years of Industry Recognitions

1 Lakh+ Students Trained

50,000+ Students Placed

Guaranteed 5+ Interview Calls

Top MNCs - Associated with 800+ Recruiters

Free Internship Project & Certification

Monthly Job Fair - Virtual as well as Physica

5000+ Reviews & Ratings

 

 Module 1: Google Cloud Dataproc Overview

  • Creating and managing clusters.
  • Leveraging custom machine types and preemptible worker nodes.
  • Scaling and deleting Clusters.
  • Lab: Creating Hadoop Clusters with Google Cloud Dataproc.

 Module 2: Running Dataproc Jobs

  • Running Pig and Hive jobs.
  • Separation of storage and compute.
  • Lab: Running Hadoop and Spark Jobs with Dataproc.
  • Lab: Submit and monitor jobs.

 Module 3: Integrating Dataproc with Google Cloud Platform

  • Customize cluster with initialization actions.
  • BigQuery Support.
  • Lab: Leveraging Google Cloud Platform Services.

 Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs

  • Google’s Machine Learning APIs.
  • Common ML Use Cases.
  • Invoking ML APIs.
  • Lab: Adding Machine Learning Capabilities to Big Data Analysis.

 Module 5: Serverless data analysis with BigQuery

  • What is BigQuery.
  • Queries and Functions.
  • Lab: Writing queries in BigQuery.
  • Loading data into BigQuery.
  • Exporting data from BigQuery.
  • Lab: Loading and exporting data.
  • Nested and repeated fields.
  • Querying multiple tables.
  • Lab: Complex queries.
  • Performance and pricing.

 Module 6: Serverless, autoscaling data pipelines with Dataflow

  • The Beam programming model.
  • Data pipelines in Beam Python.
  • Data pipelines in Beam Java.
  • Lab: Writing a Dataflow pipeline.
  • Scalable Big Data processing using Beam.
  • Lab: MapReduce in Dataflow.
  • Incorporating additional data.
  • Lab: Side inputs.
  • Handling stream data.
  • GCP Reference architecture.

 Module 7: Getting started with Machine Learning

  • What is machine learning (ML)
  • Effective ML: concepts, types.
  • ML datasets: generalization.
  • Lab: Explore and create ML datasets.

 Module 8: Building ML models with Tensorflow

  • Getting started with TensorFlow.
  • Lab: Using tf.learn.
  • TensorFlow graphs and loops + lab.
  • Lab: Using low-level TensorFlow + early stopping.
  • Monitoring ML training.
  • Lab: Charts and graphs of TensorFlow training.

 Module 9: Scaling ML models with CloudML

  • Why Cloud ML?
  • Packaging up a TensorFlow model.
  • End-to-end training.
  • Lab: Run a ML model locally and on cloud.

 Module 10: Feature Engineering

  • Creating good features.
  • Transforming inputs.
  • Synthetic features.
  • Preprocessing with Cloud ML.
  • Lab: Feature engineering.

 Module 11: Architecture of streaming analytics pipelines

  • Stream data processing: Challenges.
  • Handling variable data volumes.
  • Dealing with unordered/late data.
  • Lab: Designing streaming pipeline.

 Module 12: Ingesting Variable Volumes

  • What is Cloud Pub/Sub?
  • How it works: Topics and Subscriptions.
  • Lab: Simulator.

 Module 13: Implementing streaming pipelines

  • Challenges in stream processing.
  • Handle late data: watermarks, triggers, accumulation.
  • Lab: Stream data processing pipeline for live traffic data.

 Module 14: Streaming analytics and dashboards

  • Streaming analytics: from data to decisions.
  • Querying streaming data with BigQuery.
  • What is Google Data Studio?
  • Lab: build a real-time dashboard to visualize processed data.

 Module 15: High throughput and low-latency with Bigtable

  • What is Cloud Spanner?
  • Designing Bigtable schema.
  • Ingesting into Bigtable.
  • Lab: streaming into Bigtable.

 

Student Stories and Reviews :

The Google Cloud Data Engineer course at Radical Technologies transformed my career trajectory. The hands-on projects and personalized guidance helped me gain confidence in working with GCP services.

Radical Student

Radical Technologies provided me with the knowledge and skills needed to ace the GCP Data Engineer certification exam. I highly recommend their course to anyone looking to excel in cloud data engineering.

Radical Student

As a beginner in cloud computing, I found Radical Technologies' GCP Data Engineer course to be incredibly insightful and well-structured. The instructors were patient and supportive throughout my learning journey.

Radical Student

I enrolled in Radical Technologies' Google Cloud Data Engineer course to enhance my skills and stay competitive in the job market. The comprehensive curriculum and practical approach exceeded my expectations.

Radical Student

The job placement assistance provided by Radical Technologies was invaluable. Thanks to their support, I secured a position as a Data Engineer at a leading tech company.

Radical Student

Radical Technologies' GCP Data Engineer training equipped me with the necessary tools to tackle real-world data engineering challenges. I'm grateful for the opportunity to learn from industry experts.

Radical Student

I was impressed by the depth of knowledge shared by the instructors at Radical Technologies. Their passion for teaching and expertise in Google Cloud Platform made the learning experience truly enriching.

Radical Student

The Google Cloud Data Engineer certification course at Radical Technologies was a game-changer for me. I now feel confident in my abilities to design and implement data solutions on GCP.

Radical Student

Enrolling in Radical Technologies' GCP Data Engineer course was one of the best decisions I made for my career. The skills I acquired have opened up numerous opportunities for advancement.

Radical Student

The support and encouragement I received from the Radical Technologies team were instrumental in my success. I can't thank them enough for their dedication to student growth and development.

Radical Student

Radical Technologies' Google Cloud Data Engineer course provided me with a solid foundation in cloud data engineering principles. I'm excited to apply what I've learned in my future projects.

Radical Student

I highly recommend Radical Technologies to anyone interested in pursuing a career in GCP Data Engineering. The quality of instruction and resources surpassed my expectations.

Radical Student

The hands-on experience gained through Radical Technologies' GCP Data Engineer course was invaluable. I feel well-prepared to tackle complex data engineering projects in the real world.

Radical Student

The instructors at Radical Technologies are not only knowledgeable but also passionate about helping students succeed. Their mentorship played a significant role in my learning journey.

Radical Student

I'm grateful for the practical skills I acquired during my time at Radical Technologies. The Google Cloud Data Engineer course gave me the confidence to pursue my dream job.

Radical Student

Radical Technologies' GCP Data Engineer training provided me with a comprehensive understanding of cloud data engineering concepts. I'm excited to leverage my newfound knowledge in my career.

Radical Student

The support staff at Radical Technologies went above and beyond to ensure my success. Their commitment to student satisfaction sets them apart from other training institutes.

Radical Student

The Google Cloud Data Engineer course at Radical Technologies was both challenging and rewarding. I appreciated the emphasis on hands-on learning and real-world applications.

Radical Student

I was impressed by the practicality of the curriculum at Radical Technologies. The skills I gained have been instrumental in advancing my career as a Data Engineer.

Radical Student

Radical Technologies' GCP Data Engineer course provided me with the expertise needed to excel in the field of cloud data engineering. I'm grateful for the opportunity to learn from industry professionals.

Radical Student

Enrolling in Radical Technologies' Google Cloud Data Engineer course was a turning point in my career. The knowledge and skills I acquired have opened doors to exciting opportunities.

Radical Student

I can't thank Radical Technologies enough for their support and guidance throughout my GCP Data Engineer training. I feel confident in my abilities to tackle complex data projects.

Radical Student

The instructors at Radical Technologies were not only knowledgeable but also approachable. Their dedication to student success made all the difference in my learning experience.

Radical Student

Radical Technologies' GCP Data Engineer course exceeded my expectations. The practical assignments and real-world case studies helped solidify my understanding of cloud data engineering concepts.

Radical Student

I would recommend Radical Technologies to anyone looking to kickstart their career in cloud data engineering. The quality of instruction and resources provided unparalleled value.

Radical Student

FAQs :

A Google Cloud Data Engineer is a professional who designs, builds, and maintains data processing systems on Google Cloud Platform (GCP).

GCP Data Engineers work on designing, implementing, and managing data pipelines, databases, and analytics solutions using Google Cloud technologies.

Skills required include knowledge of GCP services like BigQuery, Dataflow, Pub/Sub, and proficiency in programming languages such as Python and SQL.

The duration varies depending on the course structure, but typically it ranges from a few weeks to a few months.

Yes, many courses are designed to cater to beginners, providing fundamental knowledge before delving into advanced topics.

Basic understanding of data concepts, familiarity with cloud computing, and programming skills are beneficial but not always required.

Most courses offer certification upon successful completion, which can enhance your credentials in the job market.

GCP Data Engineer certification demonstrates your proficiency in using Google Cloud services, making you more attractive to employers in need of cloud data expertise.

Yes, there are various online platforms offering GCP Data Engineer training, allowing you to learn at your own pace from anywhere with internet access.

Many courses include hands-on projects that simulate real-world scenarios, helping you gain practical experience.

Job opportunities include roles such as Data Engineer, Cloud Engineer, Data Analyst, and Solutions Architect in companies leveraging GCP for their data needs.

Yes, many institutes offer job placement assistance, including resume building, interview preparation, and connecting you with potential employers.

Yes, upon completing the course, you’ll be well-prepared to take the GCP Data Engineer certification exam to validate your skills.

Some institutes offer discounts or scholarships based on criteria such as academic performance or financial need.

Courses may be offered in both formats, allowing you to choose the one that best fits your learning style and schedule.

While there are no specific prerequisites, having hands-on experience with GCP services and concepts covered in the exam is beneficial.

The exam fee varies by region and currency but typically ranges from a few hundred to a few thousand dollars.

Yes, you can retake the exam, but there may be a waiting period and an additional fee for each attempt.

Yes, Google provides digital badges to individuals who earn GCP certifications, which can be displayed on professional networking sites like LinkedIn.

As of now, GCP certifications do not expire, but it’s recommended to stay updated with the latest technologies and consider recertification in the future.

Preparation typically involves studying official exam guides, completing practice tests, and gaining hands-on experience with GCP services.

While there may not be strict prerequisites, having a basic understanding of databases, cloud computing, and programming can be beneficial.

Many institutes provide lifetime access to course materials, allowing you to review content even after completing the course.

Reputable courses are often updated to reflect changes and new features in GCP, ensuring that students learn the most up-to-date information.

Yes, upon successfully completing the course, you’ll typically receive a certificate of completion, which you can add to your resume or LinkedIn profile.

Some institutes offer financial aid or scholarships based on various criteria, so it’s worth inquiring about available options.

Radical Technologies may offer unique features such as personalized attention, industry-relevant projects, or specialized modules tailored to specific job roles.

Specific prerequisites may vary, but having a basic understanding of data concepts and cloud computing can be helpful.

You can typically enroll online through the institute’s website or by contacting their admissions department for guidance on the enrollment process.

Many institutes offer post-completion support, including access to alumni networks, career counseling, and additional resources to help you succeed in your career as a GCP Data Engineer.

 

Most Probable Interview Questions for Google Cloud Platform / GCP Data Engineer

  1. Interview Question No. 1 for Google Cloud Platform / GCP Data Engineer : Can you explain your experience with Google Cloud Platform (GCP) and how it relates to your role as a Data Engineer?
  2. Interview Question No. 2 for Google Cloud Platform / GCP Data Engineer : How do you approach designing data pipelines on Google Cloud Platform? Can you walk us through a project where you implemented such pipelines?
  3. Interview Question No. 3 for Google Cloud Platform / GCP Data Engineer : What are some common challenges you’ve faced when working with BigQuery, and how did you overcome them?
  4. Interview Question No. 4 for Google Cloud Platform / GCP Data Engineer : Can you discuss your experience with data transformation and processing using GCP Dataflow?
  5. Interview Question No. 5 for Google Cloud Platform / GCP Data Engineer : How do you ensure data integrity and reliability when designing and implementing databases on Google Cloud Platform?
  6. Interview Question No. 6 for Google Cloud Platform / GCP Data Engineer : Can you explain the significance of Pub/Sub in the context of real-time data processing on GCP?
  7. Interview Question No. 7 for Google Cloud Platform / GCP Data Engineer : Have you worked with any specific GCP services or tools for data visualization and analytics? If so, can you provide examples of projects where you utilized these tools?
  8. Interview Question No. 8 for Google Cloud Platform / GCP Data Engineer : How do you optimize data storage and retrieval performance in Google Cloud Storage?
  9. Interview Question No. 9 for Google Cloud Platform / GCP Data Engineer : What strategies do you employ to monitor and troubleshoot data pipelines and processing jobs in GCP?
  10. Interview Question No. 10 for Google Cloud Platform / GCP Data Engineer : Can you discuss your experience with deploying and managing data processing applications on Google Kubernetes Engine (GKE)?
  11. Interview Question No. 11 for Google Cloud Platform / GCP Data Engineer : How do you ensure data security and compliance when working with sensitive information on GCP?
  12. Interview Question No. 12 for Google Cloud Platform / GCP Data Engineer : Can you describe a scenario where you had to scale data processing resources dynamically based on workload demands in GCP?
  13. Interview Question No. 13 for Google Cloud Platform / GCP Data Engineer : How do you approach data modeling and schema design for databases hosted on Google Cloud SQL?
  14. Interview Question No. 14 for Google Cloud Platform / GCP Data Engineer : Have you utilized GCP’s machine learning services in any of your data engineering projects? If so, can you provide examples?
  15. Interview Question No. 15 for Google Cloud Platform / GCP Data Engineer : Can you discuss your familiarity with GCP’s identity and access management (IAM) and its relevance to data engineering tasks?
  16. Interview Question No. 16 for Google Cloud Platform / GCP Data Engineer : What strategies do you employ to optimize costs when provisioning and managing data infrastructure on GCP?
  17. Interview Question No. 17 for Google Cloud Platform / GCP Data Engineer : Can you share your experience with orchestrating and scheduling data workflows using GCP’s Composer or Cloud Scheduler?
  18. Interview Question No. 18 for Google Cloud Platform / GCP Data Engineer : How do you handle data versioning and lineage tracking in a GCP environment?
  19. Interview Question No. 19 for Google Cloud Platform / GCP Data Engineer : Can you discuss your experience with data migration projects to Google Cloud Platform from other cloud providers or on-premises solutions?
  20. Interview Question No. 20 for Google Cloud Platform / GCP Data Engineer : How do you stay updated with the latest developments and best practices in GCP data engineering?

 

Google Cloud Platform / GCP Data Engineer – Course in Pune with Training, Certification & Guaranteed Job Placement Assistance!

Welcome to Radical Technologies, your premier destination for comprehensive training in Google Cloud Platform (GCP) Data Engineering. At Radical Technologies, we specialize in offering cutting-edge courses and certifications tailored to empower aspiring professionals with the skills and expertise needed to excel in the dynamic field of cloud data engineering.

Our institute, located in Pune, is renowned for its excellence in providing top-notch Google Cloud Data Engineer courses, training, and certifications. With a focus on practical learning and real-world applications, we ensure that our students not only grasp theoretical concepts but also gain hands-on experience in utilizing GCP services effectively.

With a team of experienced instructors who are industry experts in GCP data engineering, we provide personalized attention to each student, ensuring that they receive the guidance and support needed to succeed. Our curriculum covers a wide range of topics, including data processing, storage, analytics, machine learning, and more, all within the context of Google Cloud Platform.

At Radical Technologies, we understand the importance of job placement assistance in today’s competitive market. That’s why we offer comprehensive support to our students, including resume building, interview preparation, and networking opportunities with potential employers. Our goal is not just to train students but to empower them to secure fulfilling careers in the field of cloud data engineering.

Whether you’re a beginner looking to kickstart your career or an experienced professional aiming to upskill and advance in your field, our Google Cloud Data Engineer courses are designed to meet your needs. Join us at Radical Technologies and embark on a transformative learning journey towards becoming a proficient GCP Data Engineer.

Experience the Radical difference – where excellence meets opportunity, and where your aspirations become achievements. Unlock your potential with us today and embark on a rewarding career in Google Cloud Platform Data Engineering.

 

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