Data Engineer Program
Data Engineering Course in Hyderabad — Build Production Pipelines with Spark, Airflow & AWS
A 90-day hands-on Data Engineering program where you design and build real data pipelines — from batch ETL workflows with Airflow to real-time streaming with Kafka, cloud data warehouses on AWS and transformation with dbt.
What you will learn
Curriculum — 6 Phases · 90 Days
Phase 01Python & SQL Foundations10 days
- Python for data workflows — files, functions, OOP
- Advanced SQL — CTEs, window functions, optimisation
- Database design and normalisation
- Git version control for data projects
- Command line and environment setup
Phase 02Big Data with Apache Spark20 days
- Big data concepts and distributed computing
- Apache Spark architecture
- PySpark DataFrames and transformations
- Spark SQL for large-scale querying
- Spark streaming fundamentals
Phase 03Data Pipelines with Apache Airflow15 days
- Airflow architecture — DAGs, Tasks, Operators
- Scheduling and dependency management
- Building production-grade ETL workflows
- Error handling and retries
- Connecting Airflow to databases and cloud services
Phase 04Cloud Data Engineering (AWS)20 days
- AWS S3 — data lake storage and partitioning
- AWS Glue — serverless ETL
- AWS Redshift — data warehouse design and querying
- IAM roles and data security
- Cost-efficient cloud architecture patterns
Phase 05Real-time Streaming & dbt15 days
- Apache Kafka — producers, consumers, topics
- Real-time pipeline architecture
- dbt (data build tool) — transformations and testing
- Data quality and pipeline observability
- End-to-end pipeline deployment
Phase 06Placement Sprint10 days
- Portfolio and GitHub project cleanup
- Resume for data engineering roles
- System design mock interviews (pipeline architecture)
- SQL and Python technical rounds preparation
- Company connect and placement drives
What you will build
Tools & Technologies
Frequently Asked Questions
Do I need coding experience for the Data Engineer program?
Basic Python knowledge is helpful but not mandatory. The program begins with Python and SQL fundamentals before moving to big data tools.
Is this program online or offline?
100% offline at our Madhapur, Hyderabad centre with LMS access to recorded sessions.
What tools will I learn?
Python, SQL, Apache Spark, Apache Airflow, Apache Kafka, AWS (S3, Glue, Redshift), dbt, Docker, and Git — the full modern data engineering stack.
What kind of projects will I build?
You will build 4 real projects: a batch ETL pipeline with Airflow, a data warehouse on AWS Redshift, a real-time streaming pipeline with Kafka and Spark, and a dbt transformation project.
When is the next batch?
Batch dates are being finalised. Register your interest and we will notify you with priority access and an early seat reservation.
Interested in Data Engineering?
Batch dates are being finalised. Register your interest now and get priority notification + early seat reservation.