Corporate Training for
Data Engineering Course in New Delhi
Available in New Delhi
Become A Certified Data Engineer
Data Engineering Course in New Delhi in New Delhi
Become an enterprise-ready Data Engineer with Analytical Edupoint — Delhi’s leading IT training institute. Master the Data Engineering Lifecycle: Data Generation, Storage & Databases (SQL & NoSQL), Modern Data Architectures (Snowflake, BigQuery), Data Ingestion & ETL Pipelines (Kafka, Airflow), Big Data & Cluster Computing (Spark, Hadoop), Cloud Platforms (AWS, Azure, GCP), and DevOps CI/CD with Docker & Kubernetes.
- Data Engineering Certification
- 11 Comprehensive Modules
- End-to-End Live ETL & Pipeline Projects
- 100% Placement Assistance
- Flexible Batch Timings
- Senior Data Engineers & Architects (10+ Yrs)
What You Will Learn
11 comprehensive modules covering Python, SQL/NoSQL Databases, Modern Warehouses, Cloud Platforms, ETL Pipelines, Big Data Spark/Kafka, DevOps, Data Serving & Security
Module 1: Introduction to Data Engineering
- What is Data Engineering?
- Data Engineering vs Data Science
- Skills and Responsibilities of a Data Engineer
- The Data Engineering Lifecycle (Generation, Storage, Ingestion, Serving)
- Choosing the Right Technologies for Data Infrastructure
Module 2: Prerequisites & Core Basics
- Programming Skills: Python (Highly Recommended), Java, Scala, Go
- Computer Science Fundamentals: Data Structures and Algorithms
- Version Control: Git & GitHub Best Practices
- Linux Basics & Command Line Navigation
- Networking Fundamentals & Distributed Systems Basics
Module 3: Phase 1 - Data Generation
- Understanding Different Steps of Data Generation
- Data Sources: Databases, REST APIs, Web Logs, Mobile Apps, IoT Devices
- Data Collection & Extraction Considerations
- Handling Structured, Semi-Structured & Unstructured Data
Module 4: Phase 2 - Data Storage & Databases
- Database Fundamentals: Data Normalization & Data Modelling Techniques
- CAP Theorem, OLTP vs OLAP Architecture
- Slowly Changing Dimensions (SCD Types 1, 2, 3)
- Horizontal vs Vertical Scaling
- Star Schema vs Snowflake Schema Design
- Relational Databases (RDBMS): Advanced SQL, Indexing, Transactions (MySQL, PostgreSQL, MariaDB, Oracle, SQL Server)
- NoSQL Databases: Document (MongoDB, ElasticSearch), Columnar (Cassandra, HBase), Key-Value (Redis, DynamoDB), Graph (Neo4j)
Module 5: Modern Data Architectures
- Data Warehousing Concepts & Enterprise Architectures
- Cloud Data Warehouses: Google BigQuery, Snowflake, Amazon Redshift
- Data Lakes & Advanced Architectures: Data Marts, Delta Lake (Databricks), Onehouse
- Data Mesh, Data Fabric, Data Hub & Metadata-First Architecture
- Serverless Data Options & Modern Data Stack Integration
Module 6: Cloud Computing Fundamentals
- Understanding Cloud Architectures & Deployment Models
- Amazon Web Services (AWS): EC2, S3, RDS, AWS Glue ETL
- Microsoft Azure: Virtual Machines, Blob Storage, Azure SQL, Azure Data Factory
- Google Cloud Platform (GCP): Compute Engine, Cloud Storage, Cloud SQL, BigQuery, Dataflow
Module 7: Phase 3 - Data Ingestion & Pipelines
- Types of Data Ingestion: Batch Ingestion, Hybrid & Real-time Streaming
- Data Pipelines (ETL & ELT): Extract, Transform, Load Workflow
- Pipeline Orchestration Tools: Apache Airflow, dbt, Luigi, Prefect
- Messaging & Event Streaming: Async vs Sync Communication, Messages vs Streams
- Streaming Technologies: Apache Kafka, RabbitMQ, AWS SQS, AWS SNS
Module 8: Big Data & Cluster Computing
- Cluster Computing Basics: Distributed File Systems, Job Scheduling, Cluster Management
- Hadoop Ecosystem: HDFS, MapReduce, YARN
- Apache Spark Core: RDDs, DataFrames, Spark SQL
- Spark Streaming & Real-Time Analytics Engine
- Optimizing Spark Jobs & Memory Management
Module 9: DevOps, CI/CD, and Infrastructure
- Containers & Orchestration: Docker Containerization, Kubernetes (GKE, AWS EKS)
- CI/CD Pipelines: GitHub Actions, GitLab CI, Circle CI, ArgoCD
- Infrastructure as Code (IaC): Declarative vs Imperative, Idempotency (Terraform, AWS CDK, OpenTofu)
- Monitoring & Testing: Unit, Integration, End-to-End, Load & Smoke Testing
- Monitoring & Alerting Tools: Prometheus, Datadog, Sentry, New Relic
Module 10: Phase 4 - Data Serving & Analytics
- Data Analytics & Business Intelligence (BI): Power BI, Streamlit, Tableau, Looker
- Reverse ETL: ETL vs Reverse ETL Concepts & Business Usecases
- Reverse ETL Tools: Census, Segment, Hightouch Integration
Module 11: Security, Governance & Privacy
- Security Principles: Authentication vs Authorization, Encryption, Tokenization, Data Masking & Obfuscation
- Data Governance: Data Quality Assurance, Data Lineage Tracking, Metadata Management
- Data Privacy & Compliance Regulations: GDPR, ECPA, EU AI Act Compliance
Everything You Need to Succeed
Industry-leading training with real-world outcomes
Industry Certificate
Receive a recognized certification upon successful course completion
Live Projects
Work on real projects and get hands-on industry experience
Placement Assistance
100% placement support with interview preparation
Lifetime Access
Revisit class recordings and study materials anytime
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Loved by Learners & Frequently Asked
Real stories from real students — and answers to the questions we hear most.
"I am highly satisfied with their course on data science. I recommend Omnicert Technologies to every candidate who wants to get their dream job!"
"Their corporate training for Microsoft Advanced Excel course helped me get my desired job. The practical sessions were incredibly valuable."
"I have taken admission in Python with Machine Learning and AI course. Faculties help students in a friendly manner and help them grasp the concepts easily."
"Top notch curriculum and highly experienced faculty. The mock interviews were the key to my success."
"This institute changed my life! The hands-on projects gave me exactly what I needed to clear technical rounds with confidence."
"The Python with ML & AI course is fantastic. The trainer explains each concept with live examples. I was a complete beginner and now I'm working as a Data Engineer at TCS."
"Mentors clarify every doubt and help prepare for standard industry interviews. The practical case studies are highly useful. Best decision I made for my career!"
"The placement support and course quality are outstanding. I got thorough training in SQL, Advanced Excel, and Power BI. Within 3 months of completing the course I landed a job at Capgemini."
Data Engineering Course Near You in South Delhi
Our institute is located in Saket, New Delhi — easily accessible from all major nearby localities. Join India's top-rated Data Engineering Course in New Delhi training program from wherever you are.
Data Engineering Course in Saket
Looking for the best Data Engineering course in Saket? Edupoint offers an industry-validated, comprehensive Data Engineering training program at our Saket campus in South Delhi. Master Python, SQL, NoSQL, Big Data (Spark & Kafka), Cloud (AWS/Azure/GCP), Airflow, Docker, Kubernetes & Snowflake from industry senior data architects. 100% Placement Assistance | Live Projects | Flexible Batches.
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