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AWS Data Engineering Course in Chennai

Kickstart your career with our AWS Data Engineering Training in Chennai! Gain industry-focused knowledge, hands-on project experience, and dedicated support every step of the way. With assured job assistance and strong placement opportunities, your path to a successful data engineering career starts here.

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Aimore’s AWS Data Engineering Course in Chennai For Practical Training & Real-World Results

AWS Data Engineering focuses on building efficient data pipelines, managing data storage, and facilitating seamless data transfer. At Aimore Technologies, we provide a comprehensive AWS Data Engineering Training designed to empower Data Scientists, Data Engineers, Data Analysts, and Solutions Architects in advancing their careers.

Aimore Technologies offers a meticulously crafted AWS Data Engineering course in Chennai that equips you with everything you need to make a mark in this thriving field. With our cutting-edge course, you will explore various AWS data services in depth and master the art of creating optimised data pipelines for real-world applications.

We offer comprehensive AWS Data Engineering training in Chennai, covering fundamental and advanced concepts required to design a scalable cloud-based data platform. Our extensive course provides hands-on training with industry-leading tools. Through our expert guidance and real-world projects, you will gain the practical skills needed to excel in this high-demand industry.

Join us at Aimore, the best software training institute in Chennai and start your AWS Data Engineering journey today!

Discover the Top Features of Our AWS Data Engineering Course in Chennai

In-Depth AWS Learning
Master core AWS Data Engineering concepts, including big data frameworks, data pipelines, and ETL processes. Ensure a strong technical foundation.
Hands-On Project Experience
Work on real-world projects using AWS Glue and Amazon Redshift, Kinesis, and S3. Gain practical expertise that sets you apart in data processing and analytics.
Experienced Tutors
Learn from AWS-certified instructors who have years of industry experience. Acquire valuable insights into cloud and big data engineering.
Affordable & Value-Packed Training
Enjoy premium-quality AWS Data Engineering training at competitive pricing. Experience feature-rich learning with professional guidance.
Job-Ready Curriculum With Placement Support
Benefit from a career-focused programme and dedicated placement assistance. Build a strong resume, hone your interview skills, and land top jobs.
Commitment to Excellence
Gain the skills, confidence, and knowledge for AWS Data Engineering. Ensure top-notch training that drives success.

Our AWS Data Engineering Training in Chennai Batches

Weekdays 1 hr / day 9 AM to 9 PM 45 Days ONLINE/OFFLINE Enrol Now
Weekends 3 hrs 9 AM to 9 PM 8 Weeks ONLINE/OFFLINE Enrol Now

Launch Your AWS Data Engineering Career With Aimore Technologies

Let your AWS Data Engineering course in Chennai journey commence with Aimore’s hands-on training, career support, and 100% placement assistance. Enroll in our industry-recognised certification course today!
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Eligibility Criteria for Enrolling in Our AWS Data Engineering Course

Our AWS Data Engineering course in Chennai is tailored for both beginners and seasoned professionals aiming to upskill. While prior cloud experience isn't mandatory, having the following foundational knowledge can enhance your learning experience:

  • Basic programming knowledge: Familiarity with SQL, Python, or any programming language for data processing tasks.
  • Understanding of databases: A basic grasp of SQL queries and relational databases for working with data storage solutions.
  • Fundamentals of data processing: Awareness of data pipelines and ETL (Extract, Transform, Load) concepts for an added advantage.
  • Cloud computing basics: Prior knowledge of cloud platforms such as AWS, Azure, or Google Cloud for an added advantage.
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Explore What Awaits You at Aimore

Data Engineering Fundamentals
Data Engineering Lifecycle
AWS Glue
AWS Lambda
AWS Data Pipeline
Amazon Kinesis
Amazon Redshift
Amazon DynamoDB
Amazon S3 & Data Lake Architecture

Our AWS Data Engineering Course Curriculum

1. SQL Basics

  • SELECT, FROM, WHERE
  • ORDER BY, GROUP BY, HAVING
  • Scalar Functions:
    • Number Functions
    • String Functions
    • Date Functions
    • General Functions
    • Conditional Statements

2. SQL Joins & Relationships

  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
  • UNION, INTERSECT, EXCEPT
  • Self Joins & Cross Joins

3. Aggregations & Functions

  • COUNT, SUM, AVG, MIN, MA

4. Subqueries & Advanced SQL

  • Subqueries (Single-row & Multi-row)
  • Common Table Expressions (CTE)
  • Window Functions (ROW_NUMBER, RANK, DENSE_RANK)

5. Data Modification & Transactions

  • DML - INSERT, UPDATE, DELETE
  • DDL - CREATE, ALTER, TRUNCATE, MODIFY AND RENAME
  • Transactions (COMMIT, ROLLBACK, SAVEPOINT)
  • Python Basics:
  • Variables
  • Data Types
  • Control Flow
  • File Handling (CSV, JSON, Parquet)
  • Working with APIs (Requests, REST APIs, AWS Boto3 SDK)
  • Database interaction using SQLAlchemy
  • Data manipulation using Pandas & NumPy
  • Error handling & logging
  • Overview of Data Engineering concepts
  • Importance of AWS in Data Engineering
  • Understanding Data Pipelines (Batch vs. Streaming)
  • Key AWS services for Data Engineering
  • Setting up AWS Environment & CLI
  • Amazon S3: Storage, Versioning, Lifecycle Policies
  • Amazon RDS: SQL databases (MySQL, PostgreSQL)
  • Amazon DynamoDB: NoSQL database
  • Amazon Redshift: Data Warehousing
  • AWS Glue Data Catalog: Metadata management
  • AWS Lake Formation: Building a secure Data Lake
  • Batch Ingestion: AWS Glue, AWS Data Pipeline
  • Real-Time Ingestion: Amazon Kinesis Data Streams, AWS Lambda
  • Using Python & Boto3 for Data Extraction
  • Writing PySpark scripts for data transformation
  • Orchestrating ETL workflows with AWS Step Functions
  • Introduction to Apache Spark
  • PySpark Basics: DataFrames, RDDs, Transformations & Actions
  • PySpark SQL: Querying structured data
  • PySpark Data Processing: Joins, Aggregations, Window Functions
  • Partitioning & Optimisation for performance tuning
  • Writing AWS Glue PySpark Jobs
  • AWS Glue: ETL with PySpark
  • Amazon EMR: Running Spark on AWS
  • AWS Athena: Serverless SQL Querying
  • Amazon Redshift Spectrum: Querying data on S3
  • AWS QuickSight: Data visualisation & reporting
  • Real-time Streaming Pipelines with Amazon Kinesis, AWS Lambda, and PySpark
  • Batch Processing using Spark on EMR
  • Implementing event-driven architectures
  • Integrating SNS, SQS & Lambda for event processing
  • AWS Step Functions: Serverless workflow orchestration
  • Apache Airflow on AWS (MWAA): Workflow automation
  • AWS Batch: Large-scale batch processing
  • Scheduling Jobs using Crontab & Airflow DAGs
  • AWS IAM: Roles & Policies for security
  • AWS KMS: Data Encryption
  • AWS Secrets Manager: Storing credentials securely
  • Data Governance using AWS Lake Formation
  • Access Control & Monitoring using CloudTrail & CloudWatch
  • Optimising Spark Jobs: Partitioning, Caching, Parallelism
  • Optimising AWS Glue Jobs
  • Reducing AWS Costs: S3 Storage Tiers, Auto-scaling EMR Clusters
  • Monitoring & Logging: AWS CloudWatch, AWS X-Ray
Download Syllabus

How You Benefit From AWS Data Engineering Certification at Aimore

Unmatched Training Excellence

Superbly curated course to match current trends and best AWS practices. Our professional training empowers you with the skills and confidence to excel in this field. You get unparalleled support and first-hand training experience from industry veterans who bring unparalleled expertise and passion to the classroom.
Comprehensive Curriculum
One-of-a-kind syllabus presenting the latest AWS tools and methodologies, from data ingestion and transformation to analytics and data storage. You gain the essential skills to tackle industry challenges and soar in your Data Engineering career.
Dedicated Career Support
Responsive and reliable career support services, from helping you create impressive resumes to acing your AWS Data Engineering job interviews. You step into the workforce confident, knowledgeable, and poised for success.
Lifelong Learning Opportunities
Lifetime access to valuable course materials, continuous support, and constant guidance from field experts to keep you ahead in the ever-evolving Data Engineering landscape. You don’t just enroll in a course; you gain lifelong knowledge for professional development.
Hands-On Practical Experience
Special emphasis on the importance of applying theoretical knowledge in practical settings. Our training allows you to build around hands-on projects that allow you to apply AWS Data Engineering concepts in real-world scenarios. You enhance your practical experience and expertise.
Flexible Training Options
Both classroom and online training options. Our classes are conveniently designed to fit personal schedules and various geographical locations and timings. You embark on your AWS Data Engineering journey from anywhere, at any time.

Build Your AWS Data Engineering Career With Aimore Technologies, Chennai

Secure your seat today in our AWS Data Engineering course in Chennai. Embark on a resourceful and promising journey to master the skills that pave the way for a successful career. Seize the opportunity now!
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AWS Data Engineering Course in Chennai- Your Queries Answered

The duration depends on the batch you choose:

  • Weekdays Batch: 1 hour per day, completed in 45 days.
  • Weekends Batch: 3 hours per day, completed in 8 weeks.

The schedule is designed to ensure you get a strong grip on both fundamentals and advanced concepts through hands-on learning.

Yes, Aimore offers 100% placement assistance with dedicated support for resume building, interview preparation, and job referrals. While job guarantees depend on individual performance, Aimore has a proven track record of placing candidates in reputed companies.
No prior AWS or cloud experience is required to join this course. This course is suitable for both beginners and professionals. While having basic knowledge of cloud computing or programming (like Python or SQL) is helpful, it's not mandatory as all key concepts are covered from scratch.
You’ll get hands-on experience with tools and services such as AWS Glue, Redshift, Lambda, S3, Kinesis, EMR, Athena, QuickSight, and Step Functions. The course also includes PySpark, SQL, and Python programming for real-world data engineering tasks.
Absolutely. Aimore offers both online and classroom training options to suit your schedule and preferences. Whether you’re in Chennai or staying elsewhere, you can easily access the course and its resources.
Yes, on successful completion, you will receive a certification from Aimore Technologies, which validates your AWS Data Engineering skills and boosts your job prospects.
Aimore Technologies · aws training in Chennai - Aimore Technologies
Aimore Technologies · aws training in Chennai - Aimore Technologies
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