Data Engineering
Roadmap

Data Engineering Fundamentals
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Data Collection & Ingestion
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Data Warehousing & Analytics
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Data Processing & Transformation
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Database Systems & Data Modeling
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Big Data Technologies
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Data Pipelines & Workflow Automation
Foundation Course in Digital Marketing

Course Description

Ready to start your career journey as a Data Engineering professional?

In this foundation program in Data Engineering, learners build strong skills in Python, SQL, data modeling, ETL, data warehousing, and big data processing. You’ll work with real-world datasets, design and build data pipelines, integrate multiple data sources, and learn how to move, transform, and store data efficiently for analytics and reporting. The course also introduces you to concepts like batch & streaming pipelines, cloud data platforms, workflow orchestration, and production-ready data systems, so you are job-ready for roles like Data Engineer / ETL Developer / BI & Data Warehouse Engineer.

Comprehensive Curriculum

Core Python, SQL & Databases
ETL & Data Pipeline Design
Data Modeling & Warehousing
Big Data & Cloud Data Platforms
Capstone Data Engineering Project

What You’ll Learn from This Foundation Course in Data Engineering?

Foundations of Data Engineering with Python & SQL
Advanced SQL, joins, aggregations & window functions for large datasets
Data modeling (star/snowflake schema), fact & dimension tables
ETL concepts (Extract, Transform, Load) & building reliable data pipelines
Big data fundamentals: batch & streaming using modern tools (conceptual + hands-on)
Data warehousing, data lakes & lakehouse concepts on cloud platforms
End-to-end Data Engineering projects & portfolio building

Why You Should Learn This?

Every modern organization generates massive amounts of dataβ€”but that data is only useful when it is properly collected, cleaned, transformed, and made available in the right systems. That is exactly what Data Engineers do.

Learning Data Engineering gives you the ability to design and build the data backbone of any business. You’ll work with databases, pipelines, cloud storage, and big data tools that power analytics, dashboards, AI and decision-making.

At Skills Boost, our Data Engineering program is guided by trainers with hands-on experience in real-world ETL, data warehousing and big data projects. They have worked with production data systems, performance tuning, and cloud platformsβ€”and they bring that practical knowledge directly into your learning.

Through live classes, guided labs, assignments, and a capstone project, you’ll gain the confidence to apply for roles like Data Engineer, ETL Developer, BI & Warehouse Engineer, Cloud Data Engineer and more. Whether you are a fresher or want to move beyond Excel/analytics roles, Skills Boost provides a clear, career-focused path to become a job-ready data engineer.

Program Curriculum

Programming & Data Foundations (Python)

SQL for Data Engineering

Data Modeling & Data Warehousing

ETL Fundamentals & Data Pipelines

Big Data & Distributed Processing (Concept + Hands-on)

Cloud Data Engineering (AWS / GCP / Azure – Overview)

Orchestration, Monitoring & Best Practices

Career Preparation for Data Engineering

Tools You will learn.

Python
SQL Databases
Data Warehouse / BI
Apache Spark / Big Data
Airflow / Orchestration
Cloud Platforms
Git & GitHub
Docker / Containers (Concepts)

Hiring Partners

Data Hiring Partner 1
Data Hiring Partner 2
Data Hiring Partner 3
Data Hiring Partner 4
Data Hiring Partner 5
Data Hiring Partner 6
Data Hiring Partner 7
Data Hiring Partner 8

Learning Outcomes

After successfully completing this foundation course in Data Engineering, learners will be able to apply for multiple entry-level roles in the data platform domain. Students can become…

Data Engineer

Data Engineer

ETL Developer

ETL Developer

BI Engineer

BI / Reporting Engineer

Data Warehouse Developer

Data Warehouse Developer

Big Data Engineer

Big Data Engineer (Junior)

Cloud Data Engineer

Cloud Data Engineer (Entry level)

Analytics Engineer

Analytics Engineer

Data Platform Support

Data Platform Support Engineer

Fee Structure

Data Engineering Mastery Program

Duration: 6 Months (Comprehensive Training)
Class Duration: 1.5 Hours per Session
Batch Size: Limited to 15 Students
Certification: Industry Recognized Certificate
β‚Ή60,000
β‚Ή40,000
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Course Details

  • Duration: 3 Months
  • Timing: 7:00 PM - 9:00 PM
  • Batch Size: 25 Students

What's Included

  • Live Interactive Sessions
  • Recorded Sessions Access
  • Placement Assistance

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Become a Sr. Digital Marketer and lead brands to success with powerful strategies and data-driven decisions.

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Sr. Faculty in Data Science at Skills Boost, helping learners master data-driven skills with real-world insights.

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Digital Marketing Specialist

Kavita is a Digital Marketing Specialist at Skills Boost, skilled in SEO, SMM, and PPC, helping brands grow their online presence.

Ready to up skill yourself with Skills Boost

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Digital Marketing Mastery Course

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