GCP Data Engineer Training in Hyderabad
with
100% Placement Assistance
- Online |
- Class Room |
- 1 Months |
- Free Batch Access Until You Are Placed
GCP Data Engineer Training in Hyderabad
Batch Details
| Trainers Name | Arun |
| Trainers Experience | 12+ Years |
| Next Batch Date | 1st Oct 2024(Offline), 5th Oct 2024(Online) |
| Training Modes | Online and Offline Training (Instructor Led) |
| Course Duration | 2 Months(Offline & Online) |
| Call us at | +91 8142644555 |
| Email Us at | gcpmasters.in@gmail.com |
| Demo Class Details | Click here to chat on WhatsApp |
GCP Data Engineer Training in Hyderabad
Why choose us?
- Hands-on experience with real-time Google Cloud projects
- Practical learning through live, cloud-based simulations
- 100% Placement assistance until you are successfully placed
- Gain expertise equivalent to 1–2 years in just 1 month
- Expert Trainer from MNCs with 12+ Years Experience
- Starts from Foundation Level Training
- 100% job-focused training tailored to industry demands
- Personalized mentorship with full project support
- Enjoy unlimited access to batches for one year
- Prepare with over 100 GCP certification interview questions
- Comprehensive training on all GCP data engineer aspects
- 3-4 hours of daily lab practice with mentor support
- Covers most Advanced Topics needed in industry
- Continuous Support till you get job
- Exclusive Access to Paid GCP Tools
- Accredited Certification
- Professional Resume Creation & Profile Marketing
- HR Team support for placement assistance
GCP Data Engineer Training In Hyderabad
Curriculum
- Anticipating Future Data Technology Advancements
- Adapting to Evolving Business Requirements
- Understanding Current State and Migration Strategies
- Data Modeling for Flexibility
- Navigating Tradeoffs in Design
- Incorporating Distributed Systems
- Strategic Schema Design
- Future-Proofing for Data Technology Advances
- Adapting to Changing Business Requirements
- Migrating Designs to Future States
- Data Modeling Impact on Pipelines
- Tradeoffs in Pipeline Design
- Ensuring System Availability
- Thoughtful Schema Design
- Addressing Common Errors (e.g., Selection Bias)
- Incorporating Future Data Technology Trends
- Aligning with Business Requirement Changes
- Seamless Migration from Current to Future State
- Strategic Data Modeling
- Balancing Tradeoffs in Infrastructure
- Ensuring System Availability in Distributed Systems
- Schema Design for Scalability
- Capacity Planning for Efficient Operations
- Exploring Architectural Options: Message Brokers, Queues, Middleware, Service-Oriented Approaches
- Adhering to Future-Ready Design Principles
- Sustaining Flexibility Amid Business Evolution
- Incorporating Data Cleansing Best Practices
- Balancing Batch and Streaming Processes
- Transforming Data Effectively
- Strategies for Data Acquisition and Import
- Rigorous Testing and Quality Control
- Seamless Integration of New Data Sources
- Resource Provisioning Strategies
- Pipeline Monitoring for Performance
- Adaptive Adjustments to Pipelines
- Rigorous Testing and Quality Control
- Effective Data Collection and Labeling
- Insightful Data Visualization
- Dimensionality Reduction Techniques
- Rigorous Data Cleaning and Normalization
- Defining Metrics for Success
- Strategic Feature Selection and Engineering
- Algorithm Selection Considerations
- Debugging Models for Optimal Performance
- Performance and Cost Optimization Strategies
- Online and Dynamic Learning Considerations
- Collaborating with Business Stakeholders
- Skillful Gathering of Business Requirements
- Resizing and Scaling Resources Strategically
- Implementing Data Cleansing in Distributed Systems
- Leveraging High-Performance Algorithms
- Mitigating Common Errors, Including Selection Bias
- Rigorous Verification Protocols
- Building and Executing Comprehensive Test Suites
- Continuous Pipeline Monitoring
- Continuous Evaluation of Data Representations and Infrastructure
- Efficient Troubleshooting Strategies
- Thoughtful Planning for Fault Tolerance
- Executing Reliable Recovery Plans
- Stress Testing Data Recovery Processes
- Automation Strategies
- Decision Support Integration
- Data Summarization Techniques
- Adhering to Automation Principles
- Decision Support Integration
- Ensuring Data Summarization and Integrity
- Upholding Trackability in Reporting
- Implementing Robust Identity and Access Management
- Ensuring Data Security Measures
- Rigorous Penetration Testing
- Adhering to Separation of Duties Principles
- Implementing Effective Security Controls
- Navigating Legislative Requirements (e.g., HIPAA, COPPA)
- Facilitating Audits for Compliance Assurance
GCP Data Engineer Training In Hyderabad
Key Points
- Our courses are taught by certified trainers like Mr. Arun, who has extensive real-world experience. This means you will learn from someone who knows the industry well and can provide valuable insights.
- You will work on real-world projects that mimic actual industry scenarios. This practical experience will help you gain confidence in applying your skills in real jobs.
- We cover everything you need to know about GCP Data Engineering. This includes essential tools like BigQuery, Dataflow, and Cloud Storage, ensuring you are well-prepared for the field.
- Whether you prefer learning online, in-person, or through a mix of both, we have options to fit your lifestyle. You can choose the format that works best for you and your schedule.
- Our program is specifically designed to help you pass the GCP Data Engineer Certification. This training will make you job-ready and boost your chances of landing a good position.
- We assist you in preparing for job interviews with mock sessions. Additionally, we help you create a professional resume and optimize your LinkedIn profile to attract employers.
- We offer extensive job placement assistance to help you find a job. This includes job referrals, interview coaching, and networking opportunities to connect you with potential employers.
- You will have the chance to connect with fellow students and professionals in the field. Building this network can open up new career opportunities and collaborations in the future.
GCP Data Engineer course
Modes
GCP Online Training
- Certification-oriented
- Industry-Expert Trainers
- Affordable Course fee
- Access to Recorded Sessions
- Doubt-clearing Sessions
- Interview Guidance
- 100% Placement Assistance
- Whatsapp Group Access
Video Recorded Sessions
- Lifetime Video Access
- Basic to Advance Level
- Flexible Learning Schedule
- Doub-clearing Sessions
- Course Materials
- Certification Dumps
- Interview Guidance
- Certification Support
Corporate Training
- Live Project Training
- Advance Level Course
- Flexible class timing
- Real-Time Problem Solving
- Doubt-clearing sessions
- Video Material Access
- Course Material Dumps
- Whatsapp Group Access
GCP Data Engineer Course In Hyderabad
Tools Covered
- Google BigQuery
A powerful data warehouse that allows you to run super-fast SQL queries on large datasets. You’ll learn how to store, analyze, and visualize your data efficiently. - Google Cloud Dataflow
This tool enables you to execute batch and stream data processing. You will gain hands-on experience in building data pipelines that process real-time data streams. - Google Cloud Pub/Sub
Learn about this messaging service that allows you to send and receive messages between independent applications. It’s crucial for building event-driven architectures. - Google Cloud Storage
You’ll understand how to store and retrieve your data in this scalable and secure object storage service, which is essential for managing large datasets. - Google Cloud Dataproc
Explore how to run Apache Spark and Apache Hadoop clusters in the cloud. You’ll gain skills in big data processing and analysis. - Google Cloud Composer
Learn about this fully managed workflow orchestration service that helps you automate and manage complex workflows using Apache Airflow. - Google Cloud Machine Learning Engine
Get introduced to machine learning capabilities in GCP, including building, training, and deploying machine learning models. - Google Data Studio
Master this tool for creating interactive dashboards and reports to visualize your data and share insights with stakeholders. - Google Cloud Functions
You will learn how to create and run serverless applications, allowing you to focus on your code without managing the underlying infrastructure.
What Is GCP Data Engineer?
- A GCP Data Engineer is a professional who designs and manages data processing systems on Google Cloud Platform.
- They develop and optimize data pipelines to ensure efficient data flow from various sources to storage solutions.
- GCP Data Engineers focus on collecting, storing, and accessing data, making it available for analysis and reporting.
- They utilize tools like BigQuery, Dataflow, and Cloud Storage to handle large datasets effectively.
- Collaboration with data analysts and data scientists is essential to understand and meet data requirements.
- GCP Data Engineers also ensure data quality and compliance with industry standards and best practices.
- They need strong skills in SQL, programming languages (like Python or Java), and a solid understanding of data modeling.
- This role is in high demand across various industries, providing lucrative career opportunities. Ultimately, GCP Data Engineers play a vital role in transforming raw data into actionable insights that drive business decisions.
GCP Data Engineer Training in Hyderabad
Learning Objectives
- Gain a deep understanding of key Google Cloud services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Learn how to design, build, and manage data pipelines that efficiently process and analyze large datasets.
- Develop the skills to implement real-time data processing using Cloud Dataflow and Pub/Sub for streaming data.
- Learn to store, manage, and retrieve data securely and efficiently with Google Cloud Storage and BigQuery
- Work on real-life projects that mirror industry scenarios, giving you practical experience in GCP Data Engineering.
- Understand how to create and manage ETL (Extract, Transform, Load) pipelines that prepare data for analysis.
- Build the knowledge and confidence to pass the GCP Professional Data Engineer Certification exam.
- Learn best practices for ensuring data quality, integrity, and compliance with industry regulations.
- Develop the skills to work effectively with data scientists, analysts, and other engineers to deliver data-driven solutions.
- Master the ability to design scalable, reliable, and cost-effective data architectures on Google Cloud.
GCP Data Engineer Training in Hyderabad
Pre-Requisites
- Familiarity with cloud computing concepts and models (IaaS, PaaS, SaaS) is essential.
- A basic knowledge of data engineering principles, including data modeling and ETL processes, will be beneficial.
- Competence in SQL is necessary for querying and manipulating data in Google Cloud services like BigQuery.
- Familiarity with programming languages, particularly Python or Java, will help in data processing and automation tasks.
- Basic knowledge of relational and non-relational databases will provide a solid foundation for working with data storage solutions.
- A desire to learn and explore new technologies, tools, and methodologies in data engineering and cloud computing.
Who Should Learn GCP Data Engineer
Aspiring Data Engineers
Individuals looking to start a career in data engineering and seeking to acquire the necessary skills to work with Google Cloud.
Data Analysts
Professionals currently working as data analysts who want to enhance their skills in data processing and cloud technologies.
Software Developers
Developers who wish to pivot into data engineering and learn how to build and manage data pipelines on GCP.
IT Professionals
Those in IT roles who want to expand their expertise in cloud computing and data management.
Business Analysts
Analysts who want to leverage data engineering skills to derive deeper insights from data and improve decision-making processes.
Data Scientists
Data scientists looking to understand the data engineering side of their work for better collaboration and efficiency in model development.
Students and Graduates
Recent graduates or students in computer science, information technology, or related fields who want to specialize in data engineering.
Anyone Interested in Cloud Technologies
Individuals interested in exploring the growing field of cloud computing and its applications in data management.
Outline of GCP Data Engineer Course in Hyderabad
01
The course begins with a comprehensive introduction to Google Cloud Platform (GCP), covering its core services and the benefits of cloud computing for modern businesses.
02
Participants will engage in hands-on sessions, learning to deploy and manage essential GCP resources like virtual machines and storage solutions effectively.
03
The curriculum will focus on data engineering principles, including data ingestion, transformation, and storage strategies to manage large datasets efficiently.
04
Students will gain insights into utilizing BigQuery for data analysis, emphasizing advanced querying techniques and performance optimization for analytics tasks.
05
In-depth training on Google Dataflow will equip participants with skills to build and automate data pipelines for both batch and stream processing.
06
The course includes practical lessons on implementing Google Cloud Pub/Sub, enabling students to design event-driven architectures for real-time data processing.
07
Participants will learn about data governance and quality assurance best practices, essential for maintaining integrity and compliance in data management.
08
The curriculum introduces machine learning capabilities on GCP, guiding students on how to create and deploy machine learning models using cloud resources.
09
The course wraps up with real-world applications and collaborative projects, allowing students to apply their knowledge to solve practical industry challenges effectively.
Overview Of GCP Data Engineer Training in Hyderabad
The GCP Data Engineer Training in Hyderabad provides a comprehensive introduction to Google Cloud Platform (GCP), equipping participants with essential skills for a successful career in data engineering. The GCP Data Engineer course Online begins with an overview of GCP’s architecture and key services, ensuring a solid foundation for all learners.
Throughout the program, participants will gain practical experience with tools such as BigQuery, Cloud Storage, and Dataflow, focusing on data storage, processing, and analysis. Engaging hands-on activities will enhance their understanding of managing data in a cloud environment.
As the training progresses, learners will explore critical topics like data pipeline design, ETL processes, and data governance, with an emphasis on security and user access management. There will also be a strong focus on optimizing data workflows to ensure efficiency and cost-effectiveness in project execution.
By the conclusion of the course, students will possess the skills necessary to leverage GCP for real-world data engineering projects, preparing them for successful careers in this rapidly growing field.
GCP Data Engineer Training in Hyderabad
Career Opportunities
01
Data Engineer
Design and maintain scalable data pipelines, ensuring efficient data flow and storage solutions.
02
Cloud Data Engineer
Specialize in managing cloud-based data systems, handling data migration, and optimizing cloud resources for performance and cost.
03
Big Data Engineer
Work on processing and analyzing large-scale datasets, leveraging GCP tools to extract actionable insights for business growth.
04
Data Architect
Design the overall architecture of data systems, ensuring they are robust, scalable, and aligned with business goals.
05
Machine Learning Engineer
Utilize GCP’s machine learning services to create and deploy predictive models, supporting AI-driven initiatives.
06
Business Intelligence Engineer
Integrate GCP data tools with analytics and reporting solutions to provide key insights for decision-making.
GCP Data Engineer Professionals Salaries in Hyderabad
- Entry-Level Salary: New GCP Data Engineers typically start with salaries ranging from ₹4 to ₹6 lakhs annually as they begin building their cloud expertise.
- Mid-Level Salary: With 3 to 5 years of experience, professionals can expect to earn ₹8 to ₹12 lakhs per year, reflecting their growing skillset in managing and optimizing GCP resources.
- Senior-Level Salary: Those with more than 5 years of experience often command salaries between ₹15 to ₹25 lakhs per year, depending on their expertise and industry demand.
- Specialized Roles: For advanced positions like Cloud Architects or Big Data Engineers, salaries can exceed ₹20 lakhs per year, especially for those with niche skills and experience in complex cloud environments.
Skills Developed post-GCP Data Engineer Course
01
Gain expertise in deploying, managing, and scaling cloud resources like virtual machines, storage, and databases using GCP.
02
Learn how to build and maintain efficient data pipelines for both batch and real-time data processing using tools like Dataflow and Pub/Sub.
03
Develop advanced skills in querying and analyzing large datasets with BigQuery, optimizing performance for handling massive data workloads.
04
Master the Extract, Transform, Load (ETL) process to move and process data across different environments, ensuring data consistency and accuracy.
05
Understand best practices for securing cloud resources, managing user permissions, and ensuring compliance with data governance standards.
06
Gain foundational knowledge of machine learning tools in GCP, allowing you to build and deploy basic models for data-driven projects.
07
Learn how to optimize cloud usage and costs, ensuring efficient resource management to reduce unnecessary expenses while maintaining performance.
08
Develop skills in integrating GCP with popular business intelligence tools to create insightful reports and visualizations for data-driven decision-making.
GCP Data Engineer Training in Hyderabad Certifications
GCP Data Engineer Certifications:
- Google Cloud Certified – Professional Data Engineer
GCP Masters provides a dedicated path to obtaining the Google Cloud Professional Data Engineer Certification, a valuable credential that showcases your expertise in data engineering on the Google Cloud Platform.
Earning the GCP Data Engineer Certification not only enhances your technical credibility but also opens doors to advanced career opportunities in cloud computing, data engineering, and big data roles. The certification serves as a testament to your skills and expertise, making you a standout candidate in a highly competitive job market.
The training also includes mock exams, certification preparation resources, and guidance on how to successfully pass the Google Cloud Professional Data Engineer Certification exam, ensuring you are fully equipped to achieve this career milestone.
GCP Data Engineer Course in Hyderabad
Testimonials
Aditi Sharma
@aditi
My experience with the GCP Data Engineer Training in Hyderabad at GCP Masters was incredible! The hands-on projects prepared me well for real-world challenges, and I passed my certification with confidence. It is the best GCP training in Hyderabad.
Rajesh Kumar
@rajesh
I enrolled in the Best GCP Data Engineer Training in Hyderabad to expand my cloud skills. The instructors were fantastic, and the training was easy to understand. I’m now ready to tackle more complex projects
Priya Verma
@priya
The GCP Data Engineer Training in Hyderabad at GCP Masters was a turning point in my career. The practical experience helped me grasp essential concepts, and I’m now pursuing opportunities in data engineering.
Arjun Reddy
@arjun
As a recent graduate, I found the GCP Data Engineer Training in Hyderabad at GCP Masters to be extremely beneficial. It gave me the skills and confidence to land my first job as a Junior Data Engineer
Sneha Iyer
@sneha
The GCP Data Engineer Training in Hyderabad provided me with the skills to move into a Cloud Architect role. The focus on practical applications made a significant difference in my learning
Ravi Patel
@ravi
I wanted to specialize in data engineering, so I took the best GCP Data Engineer Training in Hyderabad at GCP Masters. Now I feel prepared for new challenges, and my career has taken off
Meera Singh
@meera
The GCP Training in Hyderabad was exactly what I needed. The supportive instructors and well-structured curriculum helped me achieve my certification and advance in my career
Karan Mehta
@karan
The curriculum at GCP Masters for the GCP Training in Hyderabad is well-structured and covers everything you need to know about GCP. The lifetime access to course materials and recorded sessions was a huge plus for me
Neha Gupta
@neha
Enrolling in the GCP Data Engineer Training in Hyderabad at GCP Masters was a fantastic decision! The practical sessions made complex topics easy to understand, and I’m excited about my future in cloud data engineering.
GCP Data Engineering Course in Hyderabad
Trainer
INSTRUCTOR
Mr.Arun
12+ Years of Experience
About the tutor
Mr. Arun is a seasoned GCP trainer with over 12 years of experience in the cloud computing industry. He has dedicated his career to helping students and professionals develop the essential skills required for success in Google Cloud Platform (GCP).
Arun is known for his engaging teaching style and his talent for breaking down complex concepts into simple, digestible lessons. He uses practical examples and real-life scenarios to ensure that learners of all levels, from beginners to advanced users, can grasp the material and enhance their skills effectively.
If you’re aiming to become proficient in GCP, Arun’s expertise and supportive approach will provide you with the confidence and knowledge needed to thrive in your cloud career.
GCP Data Engineer Training in Hyderabad
Benefits
High Demand for Skills
As businesses increasingly adopt cloud technologies, the demand for skilled GCP Data Engineers continues to grow, leading to numerous job opportunities.
Competitive Salary
GCP Data Engineers often enjoy attractive salary packages due to the specialized nature of their skills and the critical role they play in managing data infrastructure.
Career Growth Potential
With experience, GCP Data Engineers can advance to senior roles, such as Cloud Architect or Data Architect, offering pathways for career progression and professional development.
Diverse Work Environment
GCP Data Engineers work across various industries, from tech to finance, allowing for diverse experiences and the opportunity to work on different projects.
Engaging and Challenging Work
The role involves solving complex data problems, designing data pipelines, and optimizing data storage solutions, making it intellectually stimulating and rewarding.
Contribution to Innovation
By leveraging Google Cloud technologies, Data Engineers contribute to innovative projects and solutions that can transform businesses and improve efficiency.
Flexibility and Remote Work Options
Many organizations offer flexible working arrangements for GCP Data Engineers, including remote work options, promoting a better work-life balance.
Continuous Learning Opportunities
The field of cloud computing is constantly evolving, providing GCP Data Engineers with ongoing learning opportunities to enhance their skills and stay current with industry trends.
Networking and Community
Being part of the GCP ecosystem allows Data Engineers to connect with a global community of professionals, sharing knowledge and experiences to foster personal and professional growth.
GCP Data Engineer Market Trend
01
As businesses accelerate their cloud migration, the demand for GCP Data Engineers is growing rapidly. Organizations are recognizing the transformative power of Google Cloud Platform for secure, scalable, and cost-effective data storage, processing, and analytics solutions.
02
Companies are increasingly leveraging data-driven strategies, fueling a rising demand for skilled Data Engineers who can build and manage scalable, intelligent, and AI-powered data pipelines and architectures.
03
The rise of IoT and real-time analytics is driving an increasing demand for GCP Data Engineers capable of implementing real-time data processing and streaming solutions that deliver timely insights for data-driven decision-making.
04
The integration of machine learning and artificial intelligence into data engineering is becoming the norm. GCP Data Engineers with expertise in these technologies are in high demand to develop predictive models and automate data workflows, driving greater efficiency and intelligence in data processes.
05
As data privacy regulations become more stringent worldwide, companies are prioritizing compliance and security. GCP Data Engineers are essential in implementing secure data practices and ensuring that data management aligns with evolving legal requirements and industry standards.
06
Many organizations are embracing multi-cloud strategies to avoid vendor lock-in and enhance operational flexibility. GCP Data Engineers who can seamlessly work across various cloud platforms are becoming increasingly valuable for building integrated, cross-platform data solutions.
07
The trend toward automation in data engineering is accelerating. GCP Data Engineers with expertise in DevOps principles and tools are in high demand, enabling them to streamline processes and significantly improve efficiency across data workflows.
08
With technology evolving at a rapid pace, professionals are increasingly prioritizing upskilling through certifications and training programs. GCP Cloud Data Engineer training has become a crucial pathway for individuals aiming to remain competitive in the evolving job market and capitalize on emerging cloud data opportunities.
09
The shift to remote work has significantly expanded job opportunities for GCP Data Engineers. Many companies are now embracing a global talent pool, offering professionals the flexibility to work from home or any location, opening doors to a broader range of career prospects.
Our Accomplishments
Frequently Asked Questions
FAQ’S
GCP cloud Data Engineer Training focuses on equipping students with the skills needed to design, build, and manage data processing systems using Google Cloud Platform.
Google Cloud Platform offers powerful tools and services for data storage, processing, and analysis, making it a leading choice for data engineers.
Basic knowledge of programming, databases, and cloud computing concepts is beneficial for prospective students.
The training typically covers cloud architecture, data modeling, BigQuery, Cloud Storage, data processing with Dataflow, and more.
Yes, participants engage in hands-on projects to apply their learning practically, enhancing their skills and confidence.
The duration can vary but is typically around 2 months, depending on the institute and learning format.
Students can prepare for the Google Cloud Certified – Professional Data Engineer certification upon completion of the training.
Yes, at GCP Masters, we offer placement assistance to help graduates secure positions in the industry.
Entry-level GCP Data Engineers can expect to earn between ₹4 to ₹6 lakhs per year, with experienced professionals earning ₹15 to ₹25 lakhs or more.
Training is available in both online and offline formats, providing flexibility for students to choose what suits them best.
The training is suitable for fresh graduates, IT professionals looking to upskill, and anyone interested in pursuing a career in data engineering.
Participants will learn to use tools like BigQuery, Cloud Storage, Dataflow, Dataproc, and more.
While prior experience can be beneficial, it is not mandatory as the training covers fundamental concepts.
You can enroll by visiting the GCP Masters website or contacting the admissions team for more information.
Yes, comprehensive study materials and resources are usually provided to support learners throughout the program.
Yes, participants will receive a completion certificate upon finishing the GCP Data Engineer Training.
GCP Masters is known for its hands-on training approach, experienced instructors, and strong placement support.
At GCP Masters, we offer unlimited access to batches for a specified period, allowing students to reinforce their learning.
Completing this training equips you with in-demand skills, enhances your resume, and opens up various career opportunities in the field of data engineering.
Key trends include increased adoption of real-time data processing, integration with machine learning, and a focus on data security and compliance.
