Data Engineer Course — June 2026 Batch Open

Master the Stack Companies Actually Hire For.

PySparkDatabricksAzure Data FactoryAgentic AIMicrosoft FabricPythonSQL ServerGen AI

Go from zero to a Data Engineer role at a top company in 9 months,

through live classes, 10 real industry projects, and unconditional placement support. Taught in Hindi/Hinglish.

No prior experience neededMicrosoft Certification includedEarly morning & late evening batchesLifetime recording access

OUR DATA ENGINEERS NOW WORK AT

WiproCelebal TechMAQ SoftwareHexagonS&P GlobalAXAVeriskPublicisPublicis

5,000+

Career transformations

₹97 LPA

Highest package

5.0★

Google rating

9 months

Job-ready timeline

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Yasharth Paliwal

"One of the best coaching in North India. Trainers are very dedicated, content is very good."

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Two paths, one program

Built for working professionals and freshers equally.

The curriculum is the same. The outcome is the same. The pace adapts to where you're starting from.

Working Professionals

Already in tech, development, testing, support, or operations. You want to move into Data Engineering, where demand is high and salaries are significantly better.

  • Your existing coding knowledge accelerates you through Python and SQL
  • PySpark and Azure are the new skills that unlock the salary jump
  • Placement support includes Data Engineer-specific interview prep
Rs. 6 LPARs. 12-18 LPATypical jump

Fresh Graduates

Just finished college and don't want to start at Rs. 3-4 LPA in a generic developer or support role. Go directly into one of the most in-demand roles in tech.

  • Start from zero: Python, SQL, and data fundamentals covered first
  • 10 real projects give you a portfolio employers actually care about
  • Microsoft certification makes your resume stand out without prior experience
Rs. 3-4 LPARs. 7-12 LPAFirst Data role

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THE STACK

Every tool in your Data Engineer toolkit.

We mapped real job descriptions from Wipro, Celebal, MAQ Software, and Hexagon to build this curriculum. No guesswork.

Python

Python

Foundation

Data manipulation, scripting, automation. The language every data engineer writes daily.

Required in 98% of DE job listings

SQL Server

SQL Server

Data querying

Joins, window functions, stored procedures, query optimisation. Core to every data pipeline.

Required in 95% of DE job listings

PySpark

PySpark

Big Data processing

Distributed data processing at scale. The most in-demand Big Data skill for 2025-26.

Required in 80% of senior DE roles

Databricks

Databricks

Lakehouse platform

Unified analytics platform for ETL, ML, and streaming. Rapidly becoming the industry standard.

Fastest-growing DE skill in India

Azure Data Factory

Azure Data Factory

Cloud pipelines

Build, schedule, and monitor end-to-end data pipelines in the cloud. Microsoft's leading ETL service.

In 70% of Azure-focused DE roles

Azure OpenAI

Azure OpenAI

Gen AI integration

Integrate LLMs into data pipelines. The emerging skill that separates mid-level from senior DE roles.

Premium salary differentiator

Agentic AI

Agentic AI

AI automation workflows

Build AI systems that understand tasks, use tools, connect with data, and complete multi-step workflows.

Practical skill for modern AI automation projects

Microsoft Fabric

Microsoft Fabric

Unified data platform

Work with data pipelines, lakehouse, warehouse, real-time analytics, and Power BI in one SaaS platform.

Modern platform skill for analytics and engineering

CURRICULUM

9 months. Foundation to advanced.

Core Data Engineering modules are highlighted. Everything else builds the foundation you need to master them.

Month 1–2

Python Programming

Data structures, OOP, file handling, error handling. Decathlon data analysis project.

PythonPandasNumPy
Month 2–3

SQL + Data Analysis

SQL Server, EDA, Matplotlib, Seaborn. Real business datasets across multiple domains.

SQLMatplotlibSeaborn
Month 4

Power BI + Excel

Dashboard creation, DAX, Power Query. Microsoft PL-300 certification prep.

Power BIExcelDAX
Month 5–6

Machine Learning

Scikit-Learn, regression, classification, clustering, end-to-end ML pipelines.

Scikit-LearnML Pipelines
Month 7 ✦

Big Data: PySpark + Databricks

Distributed computing, Spark architecture, Delta Lake, Databricks notebooks at scale. Core Data Engineering module.

PySparkDatabricksDelta Lake
Month 8 ✦

Azure Cloud Data Engineering

Azure Data Factory pipelines, Azure Data Lake Storage, Azure VM, end-to-end cloud data workflows. Core Data Engineering module.

Azure ADFData LakeAzure VM
Month 9 ✦

Gen AI + Capstone + Placement Drive

Azure OpenAI integration into data pipelines, capstone project, mock interviews, company referrals.

Azure OpenAIGen AICapstone

✦ Core Data Engineering modules

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Land Your Dream Job Like Our Alumni

Our learners are working at companies like Accenture, EY, Capgemini, Flipkart, Novartis, JPMorgan Chase & Co., Morgan Stanley and more after structured training and right guidance.

0+

Career transformations

0 LPA

Highest package

0%

Average salary hike

0.0

Google rating

PRICING

One fee. Complete Data Engineer program.

PySpark, Databricks, Azure, and Gen AI, all included. No module-wise upsells.

Complete 9-Month Data Engineer Program
Rs. 60,000Rs. 50,000

Or start at Rs. 5,000/month with easy EMI

  • PySpark, Databricks, Azure Data Factory, full stack
  • Early morning and late evening live classes
  • 10 real industry projects for your portfolio
  • Microsoft PL-300 certification prep
  • Lifetime recording access
  • Unconditional placement support
  • Mentorship by working Data Engineers

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Frequently Asked Questions

General

Still Got Questions?

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Ready to learn data the right way?

The ConsoleFlare Way.

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