Are you overwhelmed by the sheer volume of data being generated today? Do you want to master the skills needed to build, manage, and optimize the complex pipelines that turn raw data into valuable insights?
SASHIRAJ SMART TECH will provide the comprehensive Data Engineering course training you need to excel!
In the modern digital economy, data is the new gold, and Data Engineers are the architects who build the infrastructure to refine it. Organizations rely on robust data pipelines to handle everything from real-time analytics to machine learning applications. Our specialized “Data Engineering Training Program” at SASHIRAJ SMART TECH is designed to equip you with the essential skills to become a proficient Data Engineer, mastering the tools and techniques required to manage large-scale data systems.
Course Duration
60 Days
Training Options
Online Training
Skill Level
Beginner to Advanced
Rating
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Why Should You Take This Data Engineering Course?
Become the Architect of Big Data: Data Engineering is the backbone of modern analytics and AI. This course teaches you how to build the scalable infrastructure necessary for handling “big data,” ensuring data quality, reliability, and security. You will gain proficiency in technologies like Hadoop, Spark, and cloud data platforms, making you indispensable to any data-driven organization.
High Demand and Lucrative Career Path: The need for skilled “Data Engineers” is exploding. Organizations are desperately seeking professionals who can manage their growing data volumes. This training provides the specialized knowledge required to fill roles such as “Data Engineer,” “ETL Developer,” “Big Data Engineer,” and “Data Architect,” leading to excellent career progression and competitive salaries.
Hands-On Expertise with Industry-Standard Tools: Our curriculum focuses heavily on practical implementation. You will not only understand the concepts of “data pipelines” and “data warehousing,” but you will also get hands-on experience using industry-standard tools and cloud platforms. This practical approach ensures you are job-ready and capable of tackling real-world “data engineering challenges” immediately after graduation.
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About the Trainer: Guiding Your Data Engineering Journey
Our trainers at SASHIRAJ SMART TECH are:
Seasoned Industry Professionals: They bring extensive real-world experience in “Data Engineering development” and implementation.
Expert Educators: Passionate about teaching, they simplify complex “data architecture concepts” and ensure effective learning.
Up-to-Date with Trends: Actively working on cutting-edge “big data projects,” their knowledge and teaching methods reflect the latest “cloud data platform advancements” and industry standards.
Committed to Your Success: They provide personalized guidance, helping you master practical aspects of data engineering.
Course Content: A Comprehensive Journey into Data Engineering
Our “Data Engineering Training Program” provides a detailed exploration of essential tools and concepts required for managing data at scale.
Module 1: Introduction to AWS Data Engineering
Get an overview of cloud-native data engineering concepts and understand the core services on AWS. Learn the architecture of modern data pipelines and how AWS supports ingestion, processing, storage, and analytics.
Module 2: Data Storage on AWS
Explore storage services like Amazon S3, S3 Glacier, EBS, and EFS. Understand how to choose the right storage service for structured, semi-structured, and unstructured data, along with versioning, lifecycle policies, and encryption.
Module 3: Data Ingestion & Streaming
Learn how to ingest large-scale batch and streaming data using Amazon Kinesis Data Streams, Firehose, and MSK. Understand how to integrate event-driven data pipelines using Amazon AppFlow and EventBridge for real-time data flow.
Module 4: Data Transformation Tools
Dive into AWS Glue and AWS Glue DataBrew for data cleaning and ETL workflows. Get hands-on with Amazon EMR to process massive datasets using Apache Spark, Hive, and Presto in a managed Hadoop framework.
Module 5: Data Lake Architecture
Master the creation and management of a centralized, secure data lake using AWS Lake Formation. Learn about cataloging, fine-grained access controls, and best practices for a governed data platform.
Module 6: Querying & Analytics
Run serverless SQL queries with Amazon Athena, search and analyze data using Amazon OpenSearch Service, and build rich dashboards and reports using Amazon QuickSight to gain actionable business insights.
Module 7: Orchestration & Workflow Automation
Automate data pipelines using AWS Step Functions and Amazon Managed Workflows for Apache Airflow (MWAA). Learn how to design, schedule, and monitor data jobs in a serverless and scalable environment.
Module 8: Compute & Serverless Architecture
Understand how to run scalable processing jobs using Amazon EC2, AWS Batch, and Lambda. Get introduced to serverless application models (AWS SAM) to reduce infrastructure overhead.
Module 9: working with AWS Databases
Explore database options on AWS including Amazon Redshift, DynamoDB, RDS, Neptune, and DocumentDB. Learn when to use each service, data modeling strategies, and how to integrate them into your pipeline.
Module 10: Monitoring, Logging & Security
Monitor infrastructure and applications using CloudWatch and CloudTrail. Implement robust security with IAM, AWS KMS, AWS WAF, Secrets Manager, and Macie to ensure secure data operations.
Module 11: CI/CD & Developer Tools
Leverage AWS developer tools such as CodeBuild, CodeDeploy, and CodePipeline to build, test, and deploy data pipeline components. Understand Infrastructure as Code with AWS CDK and automate environment provisioning.
Module 12: Data Migration & Transfer Services
Migrate databases and large data volumes using AWS DMS, Snow Family, DataSync, and SCT. Learn strategies for zero-downtime migrations and hybrid cloud data movement.
Module 13: Machine Learning with AWS
Integrate machine learning into your data workflows using Amazon SageMaker. Train, evaluate, and deploy models, and enhance your data platform with intelligent analytics.
💡 Why Choose SASHIRAJ SMART TECH?
Empowering your IT journey with expert-led training, real-time projects, and career-focused mentoring — learn, grow, and succeed with us.








Who This Course Is For: Shape Your Future with Data Engineering
This “Data Engineering certification course” is ideal for:
Aspiring Data Engineers and Big Data Engineers: Individuals looking to build a career in data infrastructure and management.
Data Analysts: Professionals seeking to transition into the technical side of data processing and pipeline development.
Software Developers: Developers who want to specialize in handling large datasets and integrating data systems.
Database Administrators (DBAs): Professionals aiming to expand their skills into distributed systems and cloud platforms.
IT Professionals: Those interested in data architecture and managing enterprise data flow.
Students and Graduates: Individuals with a foundational understanding of programming and databases looking for specialized, “in-demand data skills.”
Frequently Asked Questions (FAQs) about our Data Engineering Training Program:
A1: Basic knowledge of programming (Python preferred) and SQL is beneficial.
A2: Common roles include Data Engineer, Big Data Engineer, and Data Architect.
A3: We offer live interactive sessions, hands-on labs, and recorded content for flexible learning.
A4: Yes, upon successful completion, you will receive a certification from Sashiraj Software Solutions.
A5: We focus on real-world projects, comprehensive coverage of cloud and big data tools, and training by industry experts.
A6: The course primarily covers Python, SQL, Hadoop, Spark, and major cloud platforms (AWS, Azure, GCP).
A7: We provide career guidance, resume workshops, and interview preparation support.
A8: Yes, you retain access to course recordings and materials.
A9: Our instructors and dedicated support team are available to assist with all queries.
A10: Yes, the curriculum is regularly updated to reflect the latest advancements in "Data Engineering" and "big data technologies."



