Serving Faridabad NIT, Faridabad ISO 9001:2015 Recognized 100% Placement Support

Data Engineering Big Data & Data Pipeline Course in Faridabad NIT, Faridabad

Advance your professional career with the Data Engineering Big Data & Data Pipeline Course at SSSAM Academy. Specially tailored for students and working professionals from Faridabad NIT (Faridabad), featuring hands-on live projects, industry-standard toolchains, and 100% placement support.

Physical Classroom Campus SSSAM Academy, M24 Ground Floor, Old DLF Colony, Sector 14, Gurugram
Delivery Mode for Faridabad NIT (Faridabad) Live interactive online batches with recorded portal access, plus full access to our Sector 14 Gurugram physical lab (Approx. 32 km (40-50 mins) via Gurgaon-Faridabad Highway (SH-135)).
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Industry Veteran Mentors Live Real-Time Projects Weekday & Weekend Batches Classroom Labs + Live Online

Duration

3 Months (Fast-Track Available)

Learning Mode

Classroom & Live Interactive Online

Certification

Govt. Recognized & ISO 9001:2015

Placement

100% Dedicated Placement Assistance

About the Data Engineering Big Data & Data Pipeline Course Program for Faridabad NIT Learners

Conveniently accessible near BK Chowk, Neelam Cinema roundabout, and NIT 1-5 Market, SSSAM Academy’s Data Engineering Big Data & Data Pipeline Course provides a high-impact learning launchpad for residents in Faridabad NIT (Faridabad). Designed specifically for Commerce graduates from DAV Centenary College, Nehru College, and manufacturing tech professionals, our curriculum bridges practical industry tools with production projects. Candidates can reach our Sector 14 Gurugram center (Approx. 32 km (40-50 mins) via Gurgaon-Faridabad Highway (SH-135)) for weekend project sprints, or participate in live interactive online batches with daily mentor support.

Local Community & Career Scope: Faridabad NIT represents a major commercial & industrial hub in Faridabad, experiencing rapid digital modernization across industrial engineering, finance, and software development.

Commute & Learning Options: Only 30-35 minutes direct by road via the Gurgaon-Faridabad State Highway, or via Neelam Chowk & Bata Chowk (Violet Line). For students preferring remote study, SSSAM Academy provides live interactive online batches with recorded sessions, digital notes, and full placement support.

Data Engineering Big Data & Data Pipeline Course Detailed Curriculum & Modules

Structured step-by-step from core fundamentals to real-world industrial capstone projects.

Main Topic 1: Big Data Architecture & PySpark — RDDs, DataFrames, Spark SQL, Spark Submit, Distributed Computing Main Topic 2: Columnar Data Storage Formats — Parquet vs ORC vs Avro, Compression (Snappy/Gzip), Partitioning Strategies Practical Capstone: Building a Distributed Data Ingestion Engine with PySpark

Main Topic 1: Dimensional Data Modeling — Star Schema vs Snowflake Schema, Fact Tables, Dimension Tables, SCD Type 1 & 2 Main Topic 2: Cloud Data Warehouses — Snowflake Virtual Warehouses, AWS Redshift Spectrum, COPY Commands, Staging Practical Capstone: Designing an Enterprise Cloud Data Warehouse in Snowflake

Main Topic 1: Apache Airflow DAGs — Workflow Orchestration, Operators, Tasks, Scheduling, XComs, Backfilling Main Topic 2: Real-Time Streaming with Apache Kafka — Producers, Consumers, Topics, Kafka Connect, Streaming Analytics Practical Capstone: End-to-End Real-Time ETL Pipeline Orchestrated via Apache Airflow & Kafka

Database schema design Indexing and performance optimization Data normalization and integrity Working with large datasets in databases

ETL concepts (Extract, Transform, Load) Building automated data pipelines Data transformation techniques Data warehousing fundamentals

Star and snowflake schema design Batch and streaming data processing Introduction to big data processing frameworks Data pipeline monitoring and maintenance

Why Choose SSSAM Academy in Faridabad?

Industry Veteran Mentors

Learn directly from senior software developers and subject matter experts with 8+ years of real corporate project experience.

Live Real-Time Projects

Build portfolio-grade live projects and case studies that make your resume stand out in top corporate interviews.

100% Placement Support

Dedicated placement wing assisting you with resume crafting, LinkedIn optimization, mock interviews, and recruitment drives.

Top Hiring in Faridabad & NCR

Target direct interviews with hiring companies across Faridabad NIT and NCR: JCB, Escorts, Havells, Yamaha, alongside premier Gurugram MNCs across Cyber City and Udyog Vihar looking for job-ready tech talent.

Ready to Master Data Engineering Big Data & Data Pipeline Course in Faridabad NIT?

Join hundreds of successful alumni working at top tech firms across India. Reserve your seat for the upcoming batch with special discounts & free career counseling.

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Frequently Asked Questions (FAQs)

What are the eligibility requirements for the Data Engineering Course?

Familiarity with SQL databases and basic Python programming is recommended. Tailored for software developers, database administrators, and data analysts advancing into big data engineering.

What practical projects will I build during the Data Engineering Course?

You will build scalable big data pipelines: streaming real-time IoT events via Apache Kafka, batch processing datasets with Apache Spark (PySpark), storing in a Cloud Data Lake, and orchestrating DAG workflows in Apache Airflow.

What career support and job roles are available after completing Data Engineering Course?

Qualifies you for high-demand positions like Big Data Engineer, Data Pipeline Associate, and ETL Developer, commanding entry-level salaries competitive entry-level compensation aligned with Delhi NCR industry benchmarks.

How can students from Faridabad NIT, Faridabad attend Data Engineering Big Data & Data Pipeline Course classes?

Faridabad students in Faridabad NIT commute effortlessly via the scenic expressway directly to our Sector 14 Gurugram center with minimal transit time.

Explore Data Engineering Big Data & Data Pipeline Course in Other Faridabad & NCR Locations

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