Big Data & Cloud Engineering Specialization

Big Data & Cloud Engineering Specialization

Master enterprise-scale data technologies in our advanced 14-week specialization. Build streaming data pipelines with Hadoop, Kafka, AWS, and containerized solutions using real banking and telecommunications data.

14 Weeks
130,000 LKR
Starts August 19, 2025

Enterprise-Scale Big Data Engineering

Our Big Data & Cloud Engineering Specialization is designed for data professionals ready to tackle enterprise-scale challenges. This intensive 14-week program focuses on distributed computing, streaming analytics, and cloud-native architecture using technologies that power Sri Lanka's largest financial institutions and telecommunications networks.

Learn from senior architects who have designed data lakes for Commercial Bank's risk analytics, built real-time fraud detection systems for leading payment processors, and optimized Hadoop clusters processing terabytes of telecommunications data daily at Dialog Axiata and SLT-MOBITEL.

By December 2025, you'll have deployed scalable data processing systems, built streaming analytics pipelines handling millions of transactions, and mastered infrastructure-as-code practices used by top-tier technology companies in Colombo.

Advanced Technologies You'll Master

Hadoop & Distributed Computing

HDFS, MapReduce, Hive, and cluster optimization

Kafka & Stream Processing

Real-time data ingestion and event-driven architecture

Airflow & Orchestration

Workflow automation and dependency management

Docker & Kubernetes

Containerization and orchestration at scale

Senior-Level Career Outcomes

Our cloud specialization graduates achieve significant career advancement and command premium salaries in Sri Lanka's enterprise technology sector.

180,000 - 280,000

Average Starting Salary (LKR/month)

96%

Job Placement Rate

140%

Average Salary Increase

Senior Level

Typical Role Level

Enterprise Hiring Partners

Financial Services

Commercial Bank, HNB, DFCC Bank, Nations Trust Bank

Technology Giants

WSO2, IFS, Virtusa, 99X Technology, Sysco LABS

Telecommunications

Dialog Axiata, SLT-MOBITEL, Hutch Sri Lanka

Enterprise-Grade Technology Stack

Master the same tools and platforms that power billion-rupee financial transactions and telecommunications networks across Sri Lanka.

Big Data Ecosystem

Apache Hadoop (HDFS, YARN)
Apache Kafka & Confluent
Apache Airflow
Apache Hive & Presto

Cloud Platforms

AWS (EMR, Redshift, S3)
Google Cloud Platform
Azure Data Factory
Databricks Platform

DevOps & Infrastructure

Docker & Kubernetes
Terraform & Ansible
Jenkins CI/CD
Monitoring (Prometheus)

Production-Scale Infrastructure

Train on enterprise-grade clusters and cloud environments that mirror real production systems used by Sri Lanka's largest corporations.

Multi-node Hadoop clusters (50+ TB)
AWS production-grade credits
Real-time data streams (10M+ events/day)
Cloud certification preparation

Enterprise Security & Governance Standards

Learn advanced security practices and governance frameworks that protect sensitive financial and telecommunications data.

Advanced Security Architecture

Network Security

VPC design, firewall rules, and secure data transfer protocols

Identity & Access Management

IAM policies, RBAC, and multi-factor authentication

Data Encryption

End-to-end encryption for streaming and stored data

Compliance & Governance

Banking Regulations

CBSL guidelines and financial data protection standards

Data Lineage & Auditing

Comprehensive audit trails and data provenance tracking

Privacy Frameworks

GDPR, CCPA compliance for global data operations

Professional Certification Pathways

Aligned with industry-standard certifications that demonstrate enterprise-level expertise to employers across Asia-Pacific.

AWS Solutions Architect Professional
Google Cloud Professional Cloud Architect
Databricks Certified Professional
Certified Kubernetes Administrator

Designed for Advanced Data Professionals

This specialization targets experienced data engineers and senior developers ready to master enterprise-scale big data and cloud technologies.

Data Engineers

Experienced professionals with foundational skills seeking advanced big data and cloud engineering expertise for senior roles.

Infrastructure Engineers

System administrators and DevOps engineers transitioning to data infrastructure and cloud-native data processing systems.

Senior Developers

Software engineers with distributed systems experience ready to specialize in large-scale data processing and analytics.

Solutions Architects

Technical architects seeking to design and implement enterprise data platforms and cloud-native analytics solutions.

Analytics Leaders

Data science managers and analytics directors needing deep technical understanding of data infrastructure and platform engineering.

Career Accelerators

Mid-level professionals targeting senior data engineering positions at leading financial institutions and technology companies.

Prerequisites & Requirements

Technical Requirements

  • 2+ years data engineering experience
  • Proficiency in SQL and Python
  • Basic Linux/Unix command line
  • Understanding of distributed systems

Commitment Level

  • 15-20 hours per week
  • 3 intensive sessions (4 hours each)
  • Weekend project work (8-10 hours)
  • Capstone project development

Advanced Assessment & Performance Analytics

Enterprise-level evaluation methods with real-time monitoring and comprehensive skill validation for senior data engineering roles.

Real-Time Performance Metrics

System Performance Benchmarks

Query optimization, cluster utilization, and throughput analysis

Architecture Reviews

Peer evaluation of data pipeline designs and cloud architectures

Security Audits

Compliance verification and vulnerability assessment exercises

Advanced Certification Milestones

Week 3: Hadoop Cluster Certification
Week 7: Kafka Streaming Expert
Week 10: Cloud Architecture Pro
Week 14: Enterprise Solutions Master

Enterprise Skills Dashboard

Big Data Technologies 94%
Cloud Architecture 89%
DevOps Integration 85%
Security Implementation 91%

Executive Mentorship Program

Senior Architect Pairing

Direct mentorship with principal engineers from top Sri Lankan companies

Career Acceleration Planning

Personalized roadmaps for senior and principal engineer roles

Industry Network Access

Exclusive networking events with technology leaders and CTOs

Complete Your Data Engineering Mastery

Explore our full range of programs designed for different experience levels and specialization paths.

Data Engineering Fundamentals Bootcamp

Comprehensive 16-week program covering SQL mastery, Python for data engineering, and ETL process development with real projects.

  • SQL mastery and database optimization
  • Python for data engineering workflows
  • Apache Spark fundamentals
  • Real projects with Sri Lankan data
100,000 LKR 16 weeks
Learn More

Enterprise Data Architecture Program

Premium 20-week comprehensive program covering data lake design, real-time analytics, and scalable system architecture.

  • Data lake architecture design
  • Real-time analytics systems
  • Senior mentor guidance
  • Guaranteed internship placement
180,000 LKR 20 weeks
Learn More

Ready to Master Enterprise Data Engineering?

Join our Big Data & Cloud Engineering Specialization starting August 19, 2025. Advanced professional track for experienced engineers.

Next cohort starts: August 19, 2025

Limited to 15 experienced professionals

Prerequisites: 2+ years data engineering experience