Become a Data Engineer
October 24, 2024 2024-10-29 19:31Become a Data Engineer
Earn Industry Certification in weeks !
Become a Certified
Data Engineer
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Data Engineers are highly sought after in the tech industry, and the salaries reflect this demand. With data becoming a core asset for businesses, organizations are willing to pay top dollar for skilled data engineers.
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40+
Online Courses
10+
Data Engineering Instructors
100%
Certification
1k+
Membership
Tools and Technologies used in Data Engineer
Tailored Path for a Data Engineers
Begin your path toward becoming a Data Engineering Expert, mastering everything from core data principles to working with the latest cloud data platforms like Snowflake, Databricks, and AWS. This learning journey is designed to equip you with both foundational knowledge and advanced skills, ensuring you’re prepared to handle complex data workflows and architect data pipelines that power modern analytics systems.
Starting with data modeling, SQL proficiency, and ETL (Extract, Transform, Load) processes, you will dive deeper into data warehousing, cloud platforms, and distributed computing frameworks. You’ll gain hands-on experience working with leading technologies such as Snowflake, AWS Redshift, Azure Data Factory, and Databricks to design, build, and optimize end-to-end data pipelines.
This comprehensive program also covers Big Data ecosystems like Apache Spark and Kafka to help you process large datasets in real-time, along with Python and Scala programming for data manipulation and automation. By the end of this journey, you’ll have the full-stack data engineering skills necessary to design scalable, cloud-native data architectures that enable advanced analytics and business intelligence at scale.
DE Foundation
Snowflake Core Certification
DE End to End 60-80 hour
DE with Cloud (AWS/Azure)
Become a Data Engineer Track
Who Is It For?
Beginners and career switchers new to data engineering or those looking to brush up on foundational concepts.Course Overview:
This track covers core data engineering skills, focusing on:- Python Programming: Basics of loops, variables, functions, and data manipulation with Pandas and NumPy.
- SQL Fundamentals: Query data with SELECT, GROUP BY, JOINS, and aggregates using Snowflake.
- ETL Basics: Extract, transform, and load (ETL) data using Python scripts.
- Cloud Warehousing with Snowflake: Introduction to Snowflake’s console, databases, and warehouses.
Duration: 40-50 hours
Outcome:
Develop proficiency in Python, SQL, and Snowflake, laying a solid foundation for entry-level data engineering roles.
Who Is It For?
Designed for learners with basic knowledge of SQL and Python, looking to build advanced, production-ready data pipelines.
Course Overview:
This 60-80 hour program provides hands-on experience in building and managing batch and real-time pipelines.
- Python & SQL Mastery: Advanced queries and scripting.
- dbt for Data Transformation: Automate and test SQL models.
- Kafka Streaming: Implement real-time producers and consumers.
- AWS Lambda: Automate workflows with serverless functions.
- Snowflake Integration: Optimize incremental loads and performance tuning.
Duration: 60-80 hours
Outcome:
Master the skills to design, build, and deploy data pipelines, making you job-ready for mid-level data engineering roles.
Who Is It For?
Ideal for advanced learners with a CS degree, prior programming experience, or work background, focusing on cloud-native data architectures.
Course Overview:
This track specializes in cloud platforms like AWS and Azure, giving learners hands-on experience with:
- AWS Glue, Redshift, and Lambda: Build scalable ETL pipelines.
- Azure Data Factory & Synapse Analytics: Orchestrate and automate data workflows.
- Databricks & Spark: Process large datasets and build machine learning solutions.
- Cloud Security and Governance: Implement RBAC and data governance policies.
Duration: 80+ hours
Outcome:
Develop expertise in cloud-native data engineering, preparing for roles such as Cloud Data Engineer or Data Architect.
Begin Your Learning Adventure
We offer a wide range of certifications and Data Engineering tracks to help you become proficient in data platforms, cloud technologies, and big data ecosystems.
Data Engineering (Early Career Focused)
This course equips beginners with the core skills required to start a career in data engineering, focusing on Python programming, SQL fundamentals, ETL workflows, and Snowflake for data warehousing.
Data Engineering ( End to End )
Designed for learners with a basic understanding of SQL and Python, this course focuses on building end-to-end data pipelines using dbt, Kafka, Snowflake, and AWS Lambda.Design, build, and deploy complete pipelines.
Snowflake Core Certification
This course is designed to equip developers with advanced skills in Java backend development, focusing on microservice architecture, concurrency etc.
Why Data Engineering Development
Become a Certified Data Engineer
Certifications are an excellent way to stand out in a competitive job market by validating your skills in data platforms, cloud technologies, and big data tools. Whether you’re just starting your journey or are an experienced data professional, these certifications can boost your career prospects and demonstrate your expertise.
Learn About All Certification Track
Who Is It For?
Beginners and professionals looking to build expertise in cloud data warehousing and earn the SnowPro® Core Certification.Course Overview:
This course focuses on developing comprehensive Snowflake skills, covering the Snowflake console, virtual warehouses, databases, SQL for data querying (SELECT, Joins, Aggregations), role-based access control (RBAC), ETL and data loading using Python and SQL, and performance optimization through resource scaling and query tuning.Duration: 40-50 hours
Outcome:
Gain proficiency in Snowflake fundamentals, build confidence to pass the SnowPro® Core Certification, and develop the skills necessary for real-world data engineering roles.
Who Is It For?
Professionals and aspiring data engineers looking to master big data processing and earn the Databricks Certified Data Engineer Associate certification.
Course Overview:
This course focuses on building expertise in Apache Spark and Databricks for large-scale data engineering, covering Spark architecture, DataFrames, RDDs, real-time data streaming, SQL transformations, data lake management, and optimizing pipelines for performance. You’ll also learn how to create ETL pipelines, orchestrate workflows, and integrate Databricks with cloud services like AWS and Azure.
Duration: 40-50 hours
Outcome:
Develop hands-on skills with Databricks, prepare to pass the Databricks Certified Data Engineer Associate exam, and gain the ability to build and optimize production-ready data pipelines.
Career Assistance
Resume Reviews, Mock Interviews, and Career Counseling
We go beyond just teaching Java — we equip you with the tools to launch a successful career. Our career assistance services include personalized resume reviews to highlight your technical skills, mock interviews to help you excel in job interviews, and career counseling sessions to guide you toward your desired career path
Frequently Asked Question
This course is designed for anyone looking to learn or enhance their Data Engineering development skills. Whether you are a complete beginner, a developer from another programming background, or someone seeking certification, this course provides a structured path for all levels.
No prior programming experience is necessary. Our course starts with the basics of Python ,SQL, so even if you’re a complete beginner, you will be able to follow along and gradually build your skills.
Upon completion, you will be fully prepared to take industry-recognized certifications such as:
- SnowPro® Core Certification – Demonstrating proficiency in Snowflake’s core features, data warehousing, and SQL optimization.
- Databricks Certified Data Engineer Associate – Validating skills in building scalable data pipelines and managing big data with Apache Spark.
- AWS/Azure Certified Data Engineering – Showcasing expertise in building and managing analytics solutions on AWS.
On average, the course takes 3-6 months to complete, depending on your learning pace and prior experience.
We offer a variety of payment options to suit your financial situation, including:
- Afterpay: Split the total cost into smaller, more manageable payments over time.
- Pay-in-Parts Plan: You can pay for the course in multiple installments, allowing you to spread the cost over the course duration.
- Credit and Debit Card Payments: We accept all major credit and debit cards for easy, secure payments.
- Scholarships and Discounts: We provide scholarships based on merit or financial need, and we regularly offer discounts. Be sure to check for available options!
Why Choose Brilliant Academe
9.5k+ Students
Join over 9,500 students who have experienced real-time learning with our live, interactive sessions. Engage directly with expert instructors, ask questions, and get instant feedback, ensuring a personalized learning experience
Real World Experience
Apply your skills in real-world projects that simulate industry scenarios. Our hands-on approach ensures that you not only understand the concepts but also gain practical experience, preparing you for the challenges of the job market.
Live Webinars
Experience real-time learning with expert trainers in a fully interactive environment. Our live sessions give you the opportunity to ask questions, participate in discussions, and collaborate with peers from around the globe
Certification Focused Learning
Our courses are designed with a clear goal in mind: to help you achieve industry-recognized certifications that are valued by top employers. Every course prepares you for certification exams with practice questions, real-world projects, and expert guidance.
Progress Tracking
Stay on top of your learning with our easy-to-use progress tracking dashboard. Monitor your course completion, certification milestones, and performance in real time. Whether you’re an individual learner or a corporate team, our dashboard keeps you informed.
Support and Mentorship
We provide personalized career services such as resume building, LinkedIn profile optimization, and interview preparation. Over 9,500 students have benefited from our comprehensive support system, ensuring they are job-ready after completing their courses.
Testimonial
Testimonials Satisfied Students
Hear directly from our students about how our Data Engineering Tracks have transformed their careers. From hands-on learning experiences to career-boosting certifications, our programs are designed to help you succeed in the tech industry. Whether you’re starting out or looking to advance your skills, discover how our courses have made a difference in the lives of aspiring developers and engineers.
Brilliant Academe offered a comprehensive Data Engineering training focusing on dbt (Data Build Tool) and Snowflake. The curriculum was well-structured and included extensive hands-on training with these tools. The instructors provided deep insights and practical knowledge, which were crucial in securing my current role.
Receive Your Excellence Accreditation via Brilliant Academe
Achieve recognition for your skills and expertise with our industry-recognized certifications. Whether you’re pursuing Data Engineering or any other course our comprehensive training prepares you to excel in certification exams and stand out in the competitive job market. Earning your accreditation not only validates your knowledge but also opens doors to new career opportunities, salary growth, and leadership roles. Take the next step towards excellence and secure your future with a globally respected credential.
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