Best Data Engineering Course in Kolkata with 100% Placement Assistance

Data Engineering Course

Best Data Engineering Course in Kolkata with 100% Placement Assistance

Data engineering is essential for modern businesses, enabling organizations to collect, process, manage, and transform data into valuable insights. Euphoria GenX offers a comprehensive Data Engineering Course in Kolkata, designed to prepare learners for emerging careers through practical, job-oriented training. The course covers Python, SQL, databases, ETL pipelines, data warehousing, cloud technologies, Apache Spark, and data processing. Students gain hands-on experience through live projects, real-world datasets, practical assignments, and industry-focused case studies to develop scalable data engineering skills. Experienced mentors provide continuous guidance and help learners build technical expertise while preparing for professional opportunities. Euphoria GenX also provides job assistance, including resume building, mock interviews, interview preparation, and career guidance. With 100% placement assistance, learners receive comprehensive support to pursue opportunities across startups, IT companies, and MNCs. This Data Engineering Course is suitable for students, freshers, job seekers, and working professionals seeking careers in data engineering, cloud computing, and analytics.

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Data Engineering Course Content

Module 1: Introduction to Data Engineering
  • Introduction to Data Engineering
  • Role and responsibilities of a Data Engineer
  • Data Engineer vs Data Analyst vs Data Scientist
  • Data Engineering lifecycle
  • Types of data: Structured, Semi-Structured and Unstructured
  • Data sources and data formats
  • OLTP vs OLAP
  • Data warehouses, data lakes and lakehouses
  • Overview of modern data engineering architecture

Module 2: Programming for Data Engineering – Python
  • Python fundamentals
  • Variables, data types and operators
  • Conditional statements and loops
  • Functions and modules
  • Lists, tuples, sets and dictionaries
  • Exception handling
  • File handling
  • Object-Oriented Programming basics
  • Working with JSON, CSV and XML
  • Regular expressions
  • Python libraries for data engineering- Pandas, NumPy, Requests & SQLAlchemy
  • Virtual environments and package management

Module 3: SQL & Database Engineering
  • Database fundamentals
  • Relational database concepts
  • Tables, relationships and constraints
  • SQL fundamentals
  • SELECT, INSERT, UPDATE and DELETE
  • Filtering, sorting and grouping
  • Joins and subqueries
  • Common Table Expressions (CTEs)
  • Views and stored procedures
  • Window functions
  • Indexing and query optimization
  • Transactions and ACID properties
  • Database normalization
  • PostgreSQL / MySQL
  • Introduction to NoSQL databases

Module 4: Data Extraction & Ingestion
  • Understanding data ingestion
  • Batch vs real-time ingestion
  • Extracting data from databases
  • API-based data extraction
  • Web data and file-based ingestion
  • CSV, JSON, XML, and Parquet
  • Data validation during ingestion
  • Incremental data loading
  • Change Data Capture (CDC) concepts
  • Building Python-based ingestion pipelines

Module 5: ETL & ELT Pipelines
  • ETL architecture
  • ELT architecture
  • Extract, Transform and Load process
  • Data transformation techniques
  • Data cleansing
  • Data type conversion
  • Handling missing and duplicate data
  • Data validation
  • Incremental ETL
  • Full load vs incremental load
  • Pipeline error handling
  • Building end-to-end ETL pipelines using Python and SQL

Module 6: Data Warehousing
  • Data warehouse concepts
  • OLAP architecture
  • Fact and dimension tables
  • Star schema
  • Snowflake schema
  • Slowly Changing Dimensions (SCD)
  • Surrogate and natural keys
  • Data marts
  • Data warehouse loading strategies
  • Introduction to cloud data warehouses
  • Snowflake / BigQuery / Amazon Redshift concepts

Module 7: Big Data Engineering
  • Introduction to Big Data
  • Characteristics of Big Data
  • Distributed computing concepts
  • Hadoop ecosystem
  • HDFS fundamentals
  • MapReduce concepts
  • Apache Spark
  • Spark architecture
  • RDD, DataFrame, and Dataset concepts
  • Spark SQL
  • Data processing using PySpark
  • Transformations and actions
  • Partitioning and optimization

Module 8: Data Processing with PySpark
  • Installing and configuring PySpark
  • Creating DataFrames
  • Reading and writing data
  • Data cleaning with PySpark
  • Filtering and aggregations
  • Joins
  • Window functions
  • Handling large datasets
  • Partitioning and caching
  • Spark performance optimization
  • Processing CSV, JSON and Parquet data

Module 9: Data Pipeline Orchestration
  • Introduction to workflow orchestration
  • Apache Airflow
  • DAG concepts
  • Tasks and dependencies
  • Operators
  • Scheduling pipelines
  • Sensors
  • XCom
  • Monitoring and logging
  • Failure handling and retries
  • Building automated ETL workflows with Airflow

Module 10: Cloud Data Engineering
  • Introduction to Cloud Computing
  • Cloud storage concepts
  • Cloud-based data pipelines
  • AWS / Microsoft Azure / Google Cloud overview
  • Object storage- Amazon S3, Azure Blob Storage & Google Cloud Storage
  • Cloud databases
  • Cloud data warehouses
  • Cloud ETL services
  • Serverless data processing
  • IAM and basic cloud security

Module 11: Data Lake & Lakehouse Architecture
  • Data lake concepts
  • Data lake architecture
  • Data lake vs data warehouse
  • Data lakehouse architecture
  • Medallion architecture- Bronze, Silver & Gold
  • Apache Iceberg
  • Delta Lake concepts
  • Apache Parquet
  • Data partitioning
  • Schema evolution

Module 12: Streaming & Real-Time Data Engineering
  • Batch processing vs stream processing
  • Real-time data architecture
  • Apache Kafka fundamentals
  • Kafka topics and partitions
  • Producers and consumers
  • Consumer groups
  • Kafka Connect
  • Event-driven architecture
  • Introduction to Apache Spark Structured Streaming
  • Real-time data pipeline development

Module 13: Data Quality & Governance
  • Data quality concepts
  • Data validation
  • Data profiling
  • Data completeness and consistency
  • Data lineage
  • Metadata management
  • Data governance fundamentals
  • Data security
  • Access control
  • Data privacy
  • Data catalog concepts

Module 14: DevOps for Data Engineering
  • Git and GitHub
  • Version control
  • Branching and merging
  • CI/CD fundamentals
  • Docker fundamentals
  • Containerizing data pipelines
  • Environment management
  • Infrastructure and deployment concepts
  • Pipeline testing
  • Monitoring and logging

Module 15: AI & Generative AI for Data Engineering
  • Introduction to AI in Data Engineering
  • Using AI assistants for SQL development
  • AI-assisted Python coding
  • AI-assisted data transformation
  • Automated data documentation
  • Generating SQL queries using LLMs
  • Data quality assistance using AI
  • LLM-based data analysis workflows
  • Introduction to RAG for enterprise data
  • AI agents for data pipeline monitoring
  • Responsible AI and data security
Download Syllabus Download Now
Price 74999.00 64999.00
Duration 6 months
Enrolled 100+

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What Is Included In Our Data Engineering Course?

At Euphoria GenX, our Data Engineering Course in Kolkata is designed to develop industry-ready professionals through practical, job-oriented training. The course covers Python, SQL, databases, ETL pipelines, data warehousing, Apache Spark, cloud technologies, and AI integration. Students gain hands-on experience through live projects, real-world datasets, practical assignments, and industry-focused case studies. Learners also develop skills in data processing, pipeline development, automation, and AI-powered data solutions. Along with technical training, Euphoria GenX provides job assistance, including resume building, mock interviews, aptitude preparation, and interview guidance. With 100% placement assistance, this course prepares students, freshers, and working professionals for careers as Data Engineers, Cloud Data Engineers, Big Data Engineers, and AI-enabled Data Professionals. The training also focuses on developing problem-solving abilities and practical knowledge to handle real-world data challenges. Students gain the confidence to work with modern data technologies and build a strong foundation for long-term career growth in the IT industry.

High-Paid Career Prospects Await With Data Engineering Course


Our Data Engineering Course offers comprehensive job-oriented training in Python, SQL, Data Structures, Database Management, ETL, Data Warehousing, Apache Spark, Cloud Computing, Data Pipelines, and AI technologies. We provide both theoretical and practical knowledge through live projects and industry-focused learning to help you become job-ready and build a successful career. With 100% placement assistance and job assistance, Euphoria GenX prepares learners for opportunities in data engineering, cloud, analytics, and AI. Enroll now and take the next step toward your professional growth!

  • 10,685 Registered Enrolls
  • 87% Satisfaction Rate
  • 100% Placement Assistance
  • Trusted by Top Companies
  • Online and Offline Mode
  • A-Class Industry Training

Colleges Whom We Work With

Data Engineering Course and 100% Placement Assistance
Why Choose OurData Engineering Course in Kolkata
Job-Oriented Training

Build industry-ready skills through job-oriented training covering Data Engineering, Python, SQL, Big Data, Cloud Technologies, and AI-powered data processing.

Hands-On Learning

Work on live projects and real-world data tasks to gain practical experience in Python, SQL, ETL pipelines, data processing, database management, cloud platforms, and data warehousing.

100% Placement Assistance

At Euphoria GenX, we don’t just provide training; we support your career journey with 100% placement assistance and dedicated job assistance.

Career Growth Support

From interview prep to resume building, we provide complete support to help you stand out in a dynamic, evolving job market.

Industry Expert Guidance

Learn from experienced industry professionals and gain practical insights into DevOps and Cloud Computing through real-world training and continuous mentorship.

Flexible Learning Mode

Choose online or offline classes based on your schedule and learning preferences.

Frequently Asked Questions

01

The Data Engineering Course at Euphoria GenX is a job-oriented training program designed to develop industry-ready skills in data processing, database management, and data pipeline development. Students learn Python, SQL, ETL processes, data warehousing, cloud technologies, and big data concepts through practical training.

02

Students, fresh graduates, engineering students, BCA/MCA graduates, and working professionals interested in building a career in data engineering can join this course. Basic programming and database knowledge can be helpful but are not mandatory.

03

Yes. Euphoria GenX focuses on hands-on, industry-oriented training through practical assignments, coding exercises, real-world datasets, and project-based learning. Students gain experience in developing data pipelines, processing large datasets, and managing databases.

04

Yes. Euphoria GenX offers 100% Placement Assistance to eligible students. The program includes technical training, practical projects, interview preparation, resume development, and career guidance to help students prepare for IT industry opportunities.

05

Euphoria GenX provides job-oriented technical training aligned with industry requirements. Students benefit from experienced industry trainers, hands-on learning, live project exposure, internship opportunities, career guidance, and 100% Placement Assistance. Online, offline, and hybrid learning options are also available.

06

Yes, every student who completes the training and projects at Euphoria GenX receives a globally recognized professional certification. This certificate validates your technical skills and industry readiness.

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