Data Engineering Professional

Master ETL pipelines, Apache Spark, Kafka, Airflow, Snowflake and cloud data warehouses.

Duration 4.5 Months (150 Hours)
Mode Live Online / Offline
1,900+ Students
260+ Partners
89% Placement

📈 Your Market Value After This Course

What you'll achieve and how much you can earn after completing Data Engineering

Fresher / Entry Level

₹5 - 8 LPA

0-2 years experience

⭐ Most Common

Mid Level

₹12 - 22 LPA

2-5 years experience

Senior / Expert Level

₹28 - 50+ LPA

5+ years experience

🎯 Job Roles You Can Apply For

Data Engineer
ETL Developer
Big Data Engineer
Data Architect
Cloud Data Engineer
Analytics Engineer
Data Pipeline Engineer
Data Warehouse Developer

⚡ Skills You'll Master

Apache Spark
Apache Kafka
Apache Airflow
SQL & NoSQL
Snowflake
ETL Pipelines
Cloud Data (AWS/GCP)
Python for Data Eng

📚 Complete Course Syllabus

Master every aspect with our comprehensive curriculum

Data Engineering Fundamentals

  • Role of a data engineer and data lifecycle
  • Relational modeling and SQL advanced

Big Data Tools (Spark, Kafka)

  • Apache Spark and distributed processing
  • Kafka streams and event-driven design

ETL & Workflow Orchestration

  • Building ETL pipelines with Python
  • Airflow DAGs and scheduling

Cloud Data Warehouses

  • Snowflake, BigQuery, and Redshift
  • Data lake architecture

Data Pipelines & Monitoring

  • Monitoring and observability
  • Real-time vs batch pipelines

Real-Time Projects & Placement

  • End-to-end data pipeline project
  • Placement preparation & mock interviews

⭐ Why Choose Tekksol Global?

We provide the best learning experience with industry experts

Expert Trainers

Learn from industry professionals with 10+ years of experience

Hands-on Projects

Work on 5+ real-time industry projects with live deployment

Industry Certification

Get globally recognized certification on completion

100% Placement Support

Tie-ups with 500+ MNCs for job placements

Resume Building

Professional resume & LinkedIn profile optimization

Mock Interviews

Regular mock interviews with detailed feedback

💻 Real-Time Projects

Build impressive portfolio with industry-relevant projects

Real-Time Streaming Pipeline

End-to-end streaming pipeline that ingests and transforms data in real time.

Kafka Spark AWS

E-Commerce Data Warehouse

Design a star-schema warehouse with ETL from multiple sources.

Snowflake Airflow dbt

Log Analytics Platform

Process and analyze server logs to detect anomalies and system health.

Elasticsearch Kafka

Sales Data Pipeline

Automate daily sales reporting with scheduled ETL and dashboards.

Airflow PostgreSQL

🚀 Placement Assistance

We're committed to your success beyond the course

Placement Support Includes:
  • Resume & LinkedIn Profile Building
  • Aptitude & Technical Training
  • Mock Interviews with Industry Experts
  • Soft Skills & Communication Training
Our Hiring Partners:
  • 500+ Hiring Partners
  • Unlimited Interview Opportunities
  • Job Portal Access
  • Life-long Placement Support
Our Top Hiring Partners

❓ Frequently Asked Questions

Got questions? We've got answers

What are the prerequisites for Data Engineering?
Basic SQL and Python knowledge is helpful but not mandatory.
What is the duration of the course?
The course runs for 4.5 months (150 hours) with flexible batch timings.
Do you provide placement support?
Yes — 100% placement assistance with 500+ hiring partners.
Is EMI option available?
Yes, we offer 0% EMI options in 3, 6, or 9-month installments.
Will I get a certificate after completion?
Yes — you receive a Tekksol Global certificate upon completion.

🚀 Ready to Start Your Data Engineering Journey?

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