Data Engineering

Become a data engineering expert by designing and managing data pipelines. Learn ETL processes, data warehousing, big data tools like Hadoop and Spark, and cloud-based solutions. Build skills to support analytics and machine learning systems at scale.

32%

Market Share

₹15L

Avg. Salary

1M+

Job Openings

95%

Placement Rate

Key Features

Industry Expert Instructors

Certification Support

100% Placement Support

Flexible Learning

Industry Projects

Career Mentorship

Course Overview

What is Data Engineering?

Data Engineering is the foundation of modern analytics, focusing on building pipelines to collect, process, and store massive datasets efficiently. It enables companies to generate insights and power AI/ML applications.

Why Choose Data Engineering?

With the data market projected to hit trillions, skilled data engineers are in huge demand. Salaries range from ₹8–20 LPA, and roles span across tech giants, startups, and enterprises that rely on data-driven decisions.

Key Skills You'll Master

Data Warehousing ETL, Data Lakes, Star & Snowflake Schema

SQL & NoSQL MySQL, PostgreSQL, MongoDB, Cassandra

Big Data Processing Hadoop, Spark, Kafka

Cloud Data Tools AWS Redshift, Azure Synapse, Google BigQuery

Data Pipelines Airflow, NiFi, Glue

Data Governance Security, Compliance, Data Quality

Real-time Processing Streaming Data, Flink, Storm

Visualization & Reporting Power BI, Tableau

Essential Tools You'll Learn

Data Platforms

SQL & NoSQL Databases
Snowflake
BigQuery
Amazon Redshift
Databricks

ETL & Orchestration

Apache Airflow
AWS Glue
Talend
dbt
Informatica

Data Processing

Apache Spark
Hadoop
Kafka
Flink
Beam

Governance & Security

Data Catalogs
Data Quality Tools
Encryption Standards
IAM for Data
Compliance (GDPR/CCPA)

Course Syllabus

What is Data Engineering?
ETL vs ELT processes
Batch vs Streaming data

Task1: Build a simple ETL pipeline using Python

Relational Databases (SQL)
NoSQL Databases
Data Lakes

Task1: Design schema for an e-commerce system
Task2: Query NoSQL data

Apache Airflow
Apache Spark
Kafka for Streaming

Task1: Orchestrate workflow in Airflow
Task2: Process dataset with PySpark

AWS Redshift, GCP BigQuery, Azure Synapse
Data Warehousing concepts

Task1: Load data into BigQuery
Task2: Create a dashboard with Power BI/Tableau

Career Services & Support

🎯 100% Placement Assistance Guarantee

We don't just train you - we ensure you land your dream job in the cloud industry

📝

Resume Building

Professional resume creation highlighting your AWS skills and projects. ATS-optimized templates that get noticed by recruiters.

🎤

Interview Preparation

Mock interviews with industry experts, technical question practice, and behavioral interview training.

💼

LinkedIn Optimization

Complete LinkedIn profile makeover to attract recruiters and showcase your AWS expertise effectively.

🤝

Direct Job Placements

Partnerships with 200+ companies for direct placement opportunities. Average salary increase of 80-150%.

📊

Portfolio Development

GitHub portfolio with real AWS projects that demonstrate your skills to potential employers.

🎓

Certification Guidance

Complete support for AWS certification exams with practice tests and expert guidance.

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