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Get 10% OFF on Techzit Solutions courses + placement support. WhatsApp: +91 99624 99554
Techzit Solutions’ AWS Data Engineering Program in Chennai equips you with the skills to design, build, and manage scalable data pipelines on the AWS cloud. You’ll gain hands-on experience through projects and case studies, and you’ll practice building end-to-end data solutions, applying best practices in security, governance, and cost optimization. Upon completion, you’ll earn a recognized certification and placement support, preparing you for roles such as Data Engineer, Cloud Data Engineer, and Big Data Engineer.
Techzit Solutions’ AWS Data Engineering Program in Chennai is designed to prepare you for one of the most critical roles in today’s data-driven world. Data Engineers build the infrastructure that powers modern analytics and machine learning, ensuring organizations can process, store, and analyze data at scale to make smarter business decisions.
In this program, you’ll learn the core foundations of data engineering, including data ingestion, transformation, storage, and orchestration on the AWS cloud. You’ll gain practical expertise with services such as Amazon S3, Redshift, Glue, Kinesis, Lambda, and EMR, as well as querying and reporting tools like Athena and QuickSight.
Through case studies and real-world projects, you’ll practice building data pipelines, designing scalable architectures, and implementing solutions that enable real-time and batch data processing. The course also covers best practices in cloud security, governance, and cost optimization, ensuring you’re industry-ready for enterprise-level challenges.
Guided by expert trainers, you’ll build a strong portfolio that showcases your ability to design and deploy production-ready data engineering solutions on AWS. Upon completion, you’ll receive a recognized certification and benefit from Techzit Solutions’ placement support, opening doors to roles such as Data Engineer, Cloud Data Engineer, Big Data Engineer, and ETL Developer.
Introduction to Data Roles
Data Engineer vs Data Scientist vs Data Analyst
Responsibilities and skill sets of each role
Types of Data: Structured, Semi-structured, Unstructured
Data Processing Paradigms: ETL, ELT, Use cases, Advantages & Challenges
Data Pipelines: Definition, Components, Use Cases
Batch vs Streaming Processing: Tools, Use cases
Data Lake vs Data Warehouse: Architecture, Technologies, AWS Integration
SQL Basics: SELECT, WHERE, ORDER BY, LIMIT
Aggregations: COUNT, SUM, AVG, GROUP BY
Joins: INNER, LEFT, RIGHT, FULL OUTER
Subqueries and Nested Queries
Common Table Expressions (CTEs)
Window Functions: ROW_NUMBER, RANK, LAG, LEAD
Data Cleaning with SQL: Removing duplicates, Handling NULLs
Data Aggregation & Transformation: Pivot, Unpivot, Complex Aggregations
SQL Performance Optimization: Indexing, Query Plans, Best Practices
Hands-on Practice: Redshift, PostgreSQL, MySQL, Athena
Python Basics: Data types, Conditionals, Loops
Functions, Modules, Exception Handling
File Handling: CSV, JSON, Parquet, Large file processing
Data Manipulation with Pandas: DataFrames, Filtering, Groupby, Joins
Using boto3 for AWS: S3, EC2, Lambda, Glue interactions
Serialization & Deserialization: Pickle, JSON, Parquet
ETL with Python: Building Reusable Pipelines
Scheduling & Automation: Cron, Airflow, Step Functions
Testing & Logging: Unit tests, Logging module
Storage Services: S3, EBS, EFS
Compute Services: Lambda, EC2, Glue, Batch, Step Functions
Database Services: RDS, Aurora, DynamoDB, Redshift, Timestream
Data Movement & Integration: Glue, DataSync, DMS
Analytics Services: Athena, Redshift Spectrum, EMR, Kinesis, QuickSight
Apache Airflow (MWAA): DAGs, Scheduling, Integration
AWS Glue Studio: Visual Job Builder
Amazon SageMaker Data Wrangler: Data Prep for ML
Monitoring & Logging: CloudWatch, CloudTrail
Infrastructure as Code: CloudFormation, Terraform
CI/CD for Data Engineering: GitHub Actions, CodePipeline
AWS IAM: Users, Roles, Policies, Permissions
AWS KMS: Encryption at rest and in transit
Data Privacy & Compliance: Tokenization, GDPR, HIPAA
VPC Basics: Subnets, Endpoints for S3 and Redshift
AWS Glue Data Catalog: Metadata Management
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Upon finishing the AWS Data Engineering Course at Techzit Solutions, students receive a certificate of accomplishment, strengthened by hands-on project experience. This certificate serves as both proof of the technical expertise gained and an official recognition of their ability to design and manage data solutions on AWS.
Adding this certification to your resume significantly enhances your profile visibility during interviews. Techzit Solutions is committed to offering the Best AWS Data Engineering Course in Chennai. This certification validates your knowledge and skills in building scalable, secure, and efficient data pipelines on AWS, making you a highly attractive candidate for roles in data engineering and cloud-based analytics.
Stop wasting time on generic courses. We design tailored learning paths to meet your unique goals.
What stands out about AWS Data Engineering is the wide range of features related to fully managed services, serverless computing, and AI/ML tool integration enhancement. AWS provides an excellent data engineering environment regarding scalability and cost efficiency with services such as AWS Glue for ETL, Redshift for data warehousing, and S3 for data storage.
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.
Yes, Techzit Solutions offers 100% placement assistance with dedicated support for resume building, interview preparation, and job referrals. While job guarantees depend on individual performance, Techzit has a proven track record of placing candidates in reputed companies.
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.
Yes, on successful completion, you will receive a certification from Aimore Technologies, which validates your AWS Data Engineering skills and boosts your job prospects.
At Techzit Solutions, we build futures, not just teach IT. Our commitment to excellence and innovation redefines modern training. Join our community and learn from the best to get ahead in the bright world of technology.
