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Data Engineering Course in Noida
High Demanding

Data Engineering Course in Noida

Build job-ready skills with the Data Engineering Course in Noida, featuring practical Data Engineering Training in Noida, Python, SQL, ETL pipelines, cloud platforms, and hands-on projects.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

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About Data Engineering Course in Noida

The Data Engineering Course in Noida at TechPratham helps learners develop practical skills in building, managing, and optimizing modern data pipelines. The curriculum covers Python, advanced SQL, data modeling, ETL and ELT processes, data warehousing, Apache Spark, workflow orchestration, and cloud data platforms. Through Data Engineering Training in Noida, learners explore data ingestion, transformation, data quality, and real-time processing. Those comparing Data Engineering Courses in Noida can learn about the curriculum, hands-on projects, and relevant career paths. The program also provides a learning pathway for individuals exploring Data Engineering Certification in Noida, a Data Engineer Course in Noida, or Data Engineer Training in Noida. Topics covered are relevant to learners searching for Data Engineering Classes in Noida and Data Engineer Classes in Noida. Practical exercises focus on building reliable pipelines and preparing analytics-ready datasets. Learners considering a Data Engineering Course Noida option or an Online Data Engineering Course should confirm the current batch format, schedule, fees, project requirements, and certificate policy with TechPratham before enrolling.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Data Engineering Course Curriculum

Module 1: Introduction to Data Engineering

Understand data engineering concepts, responsibilities, and modern data architectures.

Data engineering fundamentals
Data engineer roles and responsibilities
Structured and unstructured data
Data pipelines and workflows
OLTP versus OLAP systems
Modern data architecture overview

Module 2: Python for Data Engineering

Learn Python skills used to process data and automate pipeline tasks.

Python syntax and data types
Conditions, loops, and functions
Lists, dictionaries, and sets
File handling with CSV and JSON
Exception handling and logging
Data processing with Pandas

Module 3: SQL and Database Fundamentals

Develop SQL skills for querying, transforming, and validating datasets.

Database fundamentals
Joins and subqueries
Common table expressions
Window functions and aggregations
Indexes and query optimization
SQL-based data validation

Module 4: Data Modeling and Database Design

Learn to structure data for reliable storage and efficient analytics.

Conceptual and logical data models
Normalization and denormalization
Primary and foreign keys
Fact and dimension tables
Star and snowflake schemas

Module 5: ETL and ELT Pipeline Development

Understand how data moves from source systems into processing and storage platforms.

ETL versus ELT workflows
Data extraction from files and APIs
Data transformation techniques
Incremental data loading
Change data capture fundamentals
Pipeline error handling and retries

Module 6: Data Warehousing and Storage

Explore analytical storage systems and data organization techniques.

Data warehouse architecture
Data marts and staging layers
Data lakes and lakehouse concepts
Parquet and columnar storage
Partitioning and schema evolution
Storage optimization fundamentals

Module 7: Apache Spark and PySpark

Learn distributed processing concepts for handling large datasets.

Apache Spark architecture
Spark DataFrames and Spark SQL
Transformations and actions
Joins and aggregations
Partitioning and shuffling

Module 8: Real-Time Data Processing

Understand streaming systems and event-driven data pipelines.

Batch versus stream processing
Event-driven architecture
Kafka topics and partitions
Producers and consumers
Stream ingestion and transformation
Duplicate handling and delivery guarantees

Module 9: Workflow Orchestration

Learn to schedule, coordinate, and monitor data pipeline tasks.

Workflow orchestration fundamentals
Apache Airflow architecture
DAGs and task dependencies
Scheduling and retries
Backfills and failure handling
Workflow monitoring and logging

Module 10: Cloud Data Engineering

Explore cloud services and architecture for data storage and processing.

Cloud data architecture
AWS data engineering fundamentals
Microsoft Azure data services
Cloud storage and data warehouses
Google Cloud data services
Access control and cost optimization

Module 11: Data Quality and DevOps

Learn to maintain reliable data and manage pipeline changes safely.

Data quality dimensions
Schema validation and reconciliation
Data lineage and metadata
Monitoring and alerting
Testing and CI/CD fundamentals
Git and version control

Module 12: End-to-End Capstone Project

Apply data engineering concepts to build a complete pipeline from ingestion to analytics-ready output.

Define requirements and data sources
Design the pipeline architecture
Ingest and transform data
Store processed data
Orchestrate pipeline execution
Validate and document the solution

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

Can't find a batch you were looking for?

Who Should Take This Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning Data Engineering

Data Engineer

Junior Data Engineer

ETL Developer

Key Projects

Data Engineering Course in Noida

Walmart

Walmart – Retail Sales Pipeline


Scenario: Build a data pipeline that combines retail sales, product, and inventory records to prepare reliable datasets for business reporting.

Live Work:

  • Extract sales data using Python and SQL
  • Clean records and apply validation rules
  • Load reporting data into a warehouse
Outcome: Reliable retail data pipeline
Metro Bank

Metro Bank – Customer Data Integration


Scenario: Integrate customer and transaction datasets from multiple sources while addressing duplicate records and inconsistent data formats.

Live Work:

  • Ingest sample customer and transaction files
  • Apply SQL transformations and deduplication
  • Validate and load standardized records
Outcome: Consistent customer data
GoPro

GoPro – Streaming Event Pipeline


Scenario: Design a streaming data workflow to process sample device activity and event records for near-real-time analytics.

Live Work:

  • Ingest sample events through Kafka
  • Transform and validate streaming records
  • Store processed events for analytics
Outcome: Real-time data pipeline
Toyota

Toyota – Cloud Analytics Warehouse


Scenario: Consolidate sample vehicle production, inventory, and delivery records into a structured analytical dataset for operational reporting.

Live Work:

  • Design fact and dimension tables
  • Build an incremental ingestion workflow
  • Validate warehouse outputs and pipeline runs
Outcome: Operational data insights
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is a Data Engineering Course?

Who can enroll in this course?

What skills are taught in data engineering?

Do I need programming experience?

Why is SQL important for data engineering?

Which tools are used in data engineering?

What is data engineering?

What is the difference between ETL and ELT?

What is a data pipeline?

What is data modeling?

What is Apache Spark?

What is Apache Kafka used for?

Data Engineering Course Certification

The Data Engineering Course in Noida at TechPratham is designed to help learners build practical knowledge of data engineering concepts, tools, and workflows. Upon successfully completing the course requirements, eligible learners may receive a TechPratham Course Completion Certificate, subject to the applicable certification policy.


Certification Details

  • Certification Provider: TechPratham Training & Development (P) Ltd.
  • Certificate Name: Data Engineering Course Completion Certificate
  • Certification Type: Course completion certificate
  • Assessment: As defined by the course assessment requirements
  • Skills Covered: Python, SQL, ETL and ELT pipelines, data warehousing, Apache Spark, cloud data engineering, and workflow orchestration
  • Eligibility: Completion of the applicable course requirements


Industry Certification Options

Learners may also explore relevant third-party certifications based on their preferred data engineering platform, including AWS, Microsoft Azure, Google Cloud, Databricks, or Snowflake. These certifications have their own eligibility requirements, examination formats, fees, and registration processes.



Important: The TechPratham Course Completion Certificate is separate from official vendor certifications. Third-party exams or credentials should not be considered included unless explicitly confirmed by TechPratham.


Industry-Recognized Certification

Certificate
Data Engineering Course Certificate

News Highlights

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TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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