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Data Engineering courses in Navalur

A Data Engineer is a skilled IT professional who designs, builds, and manages data pipelines and data infrastructure that enable analytics, AI, and business intelligence. Data Engineers work with large-scale data, ensuring it is clean, reliable, and available for real-time and batch processing. At Greens Technologies, Navalur, our Data Engineer Training focuses on SQL, Python, ETL, Big Data, Spark, Snowflake, and Cloud platforms, along with real-time projects and placement support, making students job-ready for high-demand roles.

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Greens Technologys

+

Years Of Experience

Course Duration (Months)

%

Avg Salary Hike

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Recruiting Partners

Learning Curve

Learning Curve

Learning Curve for Data Engineering in Navalur

Greens Technologys

Job Role after completing Data Engineer


Big Data Engineer | Cloud Data Engineer | ETL Developer | Analytics Engineer

Invest In Your Future With Skills That Matter

Invest In Your Future With Skills That Matter

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30+
Years of
Experience

Investing in the right skills at the right place paves the way for long-term career success and growth. SevenMentor Institute equips you with industry-relevant expertise, ensuring you stay ahead in an evolving job market.

Career Support:

  • Industry-expert trainers
  • Real-time project training
  • Production-level scenarios
  • Interview-oriented teaching

Resume & LinkedIn profile support

Earn globally recognized certifications that validate your expertise and enhance your employability.

  • Mock interviews
  • Interview questions & labs
  • Placement assistance

Can non IT students do this course?

With proper training and project exposure, non-IT students can transition into Data Engineering roles.

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Course Curriculum

Course Curriculum

Greens Technologys

Module 1: Data Engineering Fundamentals

  • What is Data Engineering?
  • Data Engineer vs Data Analyst vs Data Scientist
  • Data lifecycle & data pipelines
  • OLTP vs OLAP systems
  • Structured, Semi-structured & Unstructured data

Module 2: Programming for Data Engineering

Python for Data Engineering

  • SQL basics (SELECT, WHERE, GROUP BY)
  • Joins & Subqueries
  • Window functions

Module 3: Data Warehousing Concepts

  • What is a Data Warehouse?
  • ETL vs ELT
  • Dimensional modeling
  • Star schema & Snowflake schema
  • Fact & Dimension tables
  • Slowly Changing Dimensions (SCD Types 1, 2, 3)

Module 4: Big Data Technologies

  • Introduction to Big Data
  • Hadoop ecosystem overview
  • HDFS architecture
  • YARN & MapReduce basics
  • Hive architecture & queries

Module 5: Apache Spark

  •  Spark architecture
  •  RDDs, DataFrames & Datasets
  • Spark SQL
  • Spark transformations & actions
  • PySpark programming
  • Performance optimization
  • Spark on Cloud

Module 6: Data Ingestion & Integration

  • Batch vs Real-time processing

Module 7: Cloud Data Engineering

AWS / Azure / GCP (any one or combo)

AWS
  • S3, EC2, IAM
  • AWS Glue
  • Redshift
  • Athena
  • Lambda basics
Azure
  • Azure Data Factory
  • Azure Data Lake
  • Synapse Analytics
  • Azure Databricks

Module 8: Modern Data Stack

  • Databricks fundamentals
  • Delta Lake

Module 9: Data Pipeline Orchestration

  • DAGs & scheduling
  • Error handling & monitoring
  • Logging & alerting

Module 10: Data Quality & Governance

  • Data validation techniques
  • Data profiling
  • Data lineage
  • Data security & compliance
  • Role-based access control
  • GDPR basics

Module 11: DevOps for Data Engineers

  • Git & GitHub
  • CI/CD basics
  • Docker fundamentals
  • Containerizing data applications
  • Monitoring pipelines

Module 12: Real-Time & Streaming Data

  • Git & GitHub
  • CI/CD basics
  • Docker fundamentals
  • Containerizing data applications
  • Monitoring pipelines

Module 13: Capstone Projects

  • End-to-end Data Pipeline Project
  • Real-time Streaming Project
  • Cloud Data Warehouse Project
  • Production-ready ETL/ELT pipeline

Module 14: Interview & Placement Preparation

  • Data Engineering interview questions
  • SQL & Python coding practice
  • Resume building
  • Mock interviews
  • Real-world scenario discussions

Master In Data Engineering in Navalur Course

One Course Multiple Roles

Empower your career with in-demand data skills and open doors to top-tier opportunities.

Data Engineer

Big Data Engineer

ETL Developer

Cloud Data Engineer

Machine Learning Engineer

Data Architect



Database Administrator (DBA)

Data Warehouse Engineer

Business Intelligence (BI) Engineer

Data Pipeline Engineer

Analytics Engineer

AI Data Engineer

Meet Your Mentor


Working as IT Infrastructure and Cloud Architect and a technology evangelist with over 20+ years in the IT Industry. I am with the core skill on Cloud Engineering, Data Engineering, Cloud Security, Networking and Active Directory.

My goal is to help as many people as possible pursue their desired careers in this new Digital Age by enabling them to upgrade their Cloud Infrastructure and Data Engineering skills.

I am proud to say that I am heading in the right direction as completed 10000+ hours of training with the audience in multiple countries and received thousands of positive feedbacks.



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Meet Your Mentor


Dhivakar is a Data Engineering currently focused on building artificial intelligence, chatbot applications and on topics relating to AI/ML.

Dhivakar brings a wealth of knowledge and experience in architecting complex solutions and advanced troubleshooting techniques.

He holds several Microsoft Certifications including Azure, AWS, GCP and Kubernetes Certifications.







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CONSULT WITH OUR ADVISORS

Course & Curriculum Details

Affordable Learning

Career Guidance

General Communication

Flexible Learning Options

Certification Benefits

KEY Features

KEY Features

KEY Features that Makes Us Better and Best FIT For You

01

Expert Trainers

Industry professionals with extensive experience to guide your learning journey.

02

Comprehensive Curriculum

In-depth courses designed to meet current industry standards and trends.

03

Hands-on Training

Real-world projects and practical sessions to enhance learning outcomes.

04

Flexible Schedules

Options for weekday, weekend, and online batches to suit your convenience.

05

Industry-Recognized Certifications

Globally accepted credentials to boost your career prospects.

06

State-of-the-Art Infrastructure

Modern facilities and tools for an engaging learning experience.

07

100% Placement Assistance

Dedicated support to help you secure your dream job.

08

Affordable Fees

Quality training at competitive prices with flexible payment options.

Services

Ready to unlock your full potential as a Data Engineer

Contact Advisor

Certification

Earn a recognized Postgraduate Certificate in Data Engineering with GenAI, backed by NSDC and Skill India, to showcase your credibility and expertise.

greenstechnologys Certificate
Testimonials

Testimonials

I have joined Data analytics course in Greens Technologies Navalur branch. I really enjoyed the course. Trainer *Shakthi*is an exceptional Data Analyst Trainer who delivers concepts with remarkable clarity and real-time industry examples.....

I had the opportunity to learn AWS DevOps at Navalur Greens Technologies, and I want to sincerely appreciate Arun, for the remarkable training experience. From day one, he created a very comfortable learning environment and explained ....

I recently completed my AWS DevOps course at Navalur Greens Technologies, and I’m extremely happy with the training experience. My trainer Arun SG was outstanding throughout the entire 3-month program. His way of teaching complex AWS and DevOps ....

I had the privilege of learning SQL under Priyadharshni’s guidance, and the experience was truly outstanding. She combines deep technical expertise with a clear, structured teaching style that makes even complex concepts easy to understand....

I recently completed the Data Analytics course, and it was an excellent learning experience. Each trainer brought strong expertise to their respective module. **Priyadarshini** delivered the SQL sessions with great clarity, making even complex queries ...

I completed the Data Analyst course under Sakthi, and it was a great experience! He explains every concept clearly with real-world examples, making it easy to understand even for beginners...

 

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Tuition Fee and Training Options

Tuition Fee and Training Options

Live Sessions

Learn In Expert-Led Live Sessions

Solid Experiential Learning

  • 200+ Hours of Learning
  • 10+ Case Studies, Assignments
  • 15+ Personalized Industry Sessions
  • 10-Week Product Mindset Bootcamp and more
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Enterprise Training

Upskill and Reskill Your Teams

Customized Corporate Training

  • Unleash In-Demand Skills Across the Enterprise
  • Skill Development with Business Objectives
  • Drive Increased Employee Productivity
  • Leverage Immersive Learning
Enroll Now

Frequently Asked Questions (FAQ) – Data Engineering

1. What is Data Engineering?

Data Engineering focuses on designing, building, and maintaining systems that collect, store, and process large amounts of data. Data engineers make data ready for analytics, AI, and business decision-making.

2. Who should learn Data Engineering?

  • Fresh graduates (CS / IT / non-IT with interest)
  • Software developers
  • Data analysts looking to upskill
  • ETL / BI / SQL professionals
  • Working professionals aiming for high-pay IT roles

3. Do I need coding knowledge to learn Data Engineering?

Basic programming knowledge is helpful, but not mandatory. Most courses start from Python & SQL basics and gradually move to advanced concepts.

4. What skills will I learn in Data Engineering?

  • SQL & Advanced SQL
  • Python for data processing
  • ETL & Data Pipelines
  • Data Warehousing (Snowflake / Redshift / BigQuery)
  • Big Data (Hadoop, Spark)
  • Cloud platforms (AWS / Azure / GCP)
  • Real-time data processing
  • Project & production-level practices

5. What tools are used in Data Engineering?

  • Python, SQL
  • Apache Spark, Hadoop
  • Airflow, Kafka
  • Snowflake
  • AWS / Azure / GCP
  • Git & CI/CD tools

6. Is Data Engineering a good career in 2025 and beyond?

Yes 👍
Data Engineering is high-demand, high-pay, and future-proof because AI, analytics, and automation depend on clean and scalable data systems.

7. What is the average salary of a Data Engineer in India?

  • Freshers: ₹5–8 LPA
  • 2–5 years experience: ₹10–25 LPA
  • Senior roles: ₹30+ LPA

(Salary varies based on skills, tools, and company)

8. How long does it take to become a Data Engineer?

  • 3–4 months – Strong foundation + projects
  • 6 months – Job-ready with real-time experience

Consistent practice is the key.

9. Are projects included in the training?

  • Building ETL pipelines
  • Cloud data warehouse projects
  • Streaming data projects
  • End-to-end data engineering case studies

10. Do you provide placement support?

  • Resume preparation
  • Interview questions & mock interviews
  • Placement assistance / referrals
  • Career guidance sessions

11. Can non-IT students learn Data Engineering?

Yes. With structured training and mentor support, non-IT students can successfully transition into Data Engineering roles.

12. Is Data Engineering different from Data Analytics?

  • Data Engineer: Builds data pipelines & infrastructure
  • Data Analyst: Analyzes and visualizes data

Data Engineers work behind the scenes to enable analytics and AI.

13. Is online training effective for Data Engineering?

  • Live sessions
  • Hands-on labs
  • Mentor support
  • Real-time projects

Both online and offline modes are effective.

14. What are the job roles after completing Data Engineering?

  • Data Engineer
  • Big Data Engineer
  • Cloud Data Engineer
  • ETL Developer
  • Analytics Engineer

15. How do I start learning Data Engineering?

  1. SQL basics
  2. Python fundamentals
  3. Data concepts
  4. Join a structured Data Engineering course