Big Data Engineer live training session at Linkskill Academy
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Data & AI Track

Big Data Engineer

Build the pipelines that feed every dashboard and model.

ModeOnline · Offline · Hybrid
FormatLive, project-based
IncludesCapstone + Portfolio
SupportInterview calls till placement

Overview

Behind every dashboard is a pipeline moving and cleaning data at scale. This program teaches you to design, build and maintain those pipelines — from databases to distributed processing — so data actually arrives where analysts and data scientists need it.

Tools & Technologies

SQLPythonApache SparkHadoop basicsAWS (S3, RDS)Airflow basicsData warehousing concepts

Curriculum

01

Database & SQL Foundations

  • Relational database design
  • Advanced SQL & query optimisation
  • Data warehousing concepts
  • Normalisation & schema design
02

Big Data Processing

  • Introduction to Hadoop & Spark
  • Batch vs streaming data
  • Distributed processing concepts
  • Working with large datasets
03

Pipelines & Cloud

  • Building ETL/ELT pipelines
  • Cloud databases (AWS RDS, S3)
  • Workflow orchestration basics
  • Data quality & monitoring
04

Capstone Project

  • End-to-end pipeline build
  • Performance optimisation
  • Documentation
  • Portfolio presentation

Who This Is For

💻

Developers/DBAs

Moving into data engineering from a database or backend role.

🎓

Engineering graduates

Want a technical, infrastructure-facing data career.

🔄

IT professionals

Looking to specialise as data volumes become a core skill gap.

Roles You Can Target

Data EngineerBig Data EngineerETL DeveloperAnalytics Engineer

Still deciding?

Tell us your background and goal — we'll tell you honestly if Big Data Engineer is the right fit, or point you to one that is.

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