Data Engineering Training + 100% Placement Support
From Zero to Pipeline: Learn how to build real-world data pipelines with SQL, Python, and PySpark—even with no prior coding experience. Work on hands-on projects and become job-ready for entry-level data engineering roles.
Why Choose Our Data Engineering Program?
-
Built for beginners: No coding background required
-
Covers full-stack data engineering: SQL, Python, PySpark
-
Hands-on projects with real datasets
-
Guided mini-projects + weekly assignments
-
Resume, mock interviews, and job referrals included
| Program Component | Details |
|---|---|
| Duration | 8 Weeks (Live Online + Assignments) |
| Mode | Instructor-led + Self-paced recordings |
| Tools & Platforms | PostgreSQL, Python 3, PySpark, Parquet, JSON |
| Projects | 4+ mini use cases + 1 capstone pipeline |
| Placement Support | Resume building, mock interviews, recruiter referrals |
| Certification | Course Completion + Interview-ready Toolkit |
Goal: Write optimized SQL queries for data pipeline tasks
- Intro to SQL, schema design, OLTP vs OLAP
- CREATE, SELECT, WHERE, ORDER BY
- Joins (INNER, LEFT, OUTER), Aggregations
- Subqueries, CTEs, Window Functions (RANK, LAG)
- Real-world schemas: sales, customers, students
Goal: Build ETL scripts with clean code and logging
- Python syntax, loops, functions, conditionals
- File handling: read/write CSV, folder traversal
- Dicts, lists, string formatting, JSON handling
- CSV processing, log creation, modularization
- Mini Project: Python script to clean & log CSVs
Goal: Build scalable Spark pipelines with transformations
- Spark architecture and DataFrame API
- Read/write CSV, JSON, Parquet
- Transformations: select, withColumn, filter, joins
- Window functions, repartitioning, null handling
- End-to-end pipeline: ingest → transform → write
- Final Project: Join orders + customers → summary file
Goal: Consolidate all skills into one mini-pipeline
- Data file formats (CSV, JSON, Parquet)
- Data pipeline architecture: batch vs stream
- End-to-end build: SQL + Python + Spark
- Best practices: logging, performance, modularity
- Capstone: Customer revenue pipeline
Popular Job Roles
- Entry-level Data Engineer
- Python + SQL Developer
- Spark Developer
- ETL / Pipeline Analyst
Top Recruiters
- TCS
- Capgemini
- Accenture
- LTIMindtree
- FinTech & Retail Startups