DATA ENGINEERING TRACK

Build Pipelines That
Survive Real Data

Learn to design, build and operate production data pipelines — ingestion, modelling, quality and orchestration — through mentor-guided projects using real, messy data.

Next CohortStarts 1 September 2026
Duration5-6 Weeks
Format100% Online
Live mentor support
4 real-world projects
Verified portfolio
Project-based assessment
HR-visible skill profile

Become a Data Engineer

Cohort + PAT Bundle

6,999

Program Pricing (Pilot Cohort)

  • Includes Live Mentor Support
  • Every project mentor-verified before certification
  • 100% Online Format
  • Portfolio review and interview preparation.

Speak to an Advisor

Not sure if this is the right fit? Drop your details and we'll call you back within 24 hours to discuss your goals.

Why This Track?

Every company has data. Very few can trust it. Data engineers are the people who make pipelines correct, repeatable and recoverable when the source misbehaves.

Batch and streaming ingestion patterns
Dimensional and event data modelling
Data quality checks and validation gates
Orchestration, scheduling and dependency management
Late, duplicate and corrected data handling
Lineage, monitoring and backfill procedures
Industry-Relevant Focus: Students work with data that arrives late, arrives twice and gets corrected after the fact — the conditions that actually break pipelines in production.

Who This Track Is For

  • College students (any stream)
  • Beginners in SQL and Python who want infrastructure work rather than analysis
  • Analysts moving from reporting into pipeline ownership
  • Backend developers adding data infrastructure to their profile
  • Career switchers targeting data platform roles
Note: No prior data engineering experience required — SQL and Python fundamentals are included.

Learning Tools and Methodology

Master an industry-standard technical stack through our hands-on engineering pedagogy and structured practice.

Tools You Will Master

Python
Core Language
SQL
Modelling & Transformation
Apache Spark
Distributed Processing
Kafka
Streaming Ingestion
Airflow
Orchestration
dbt
Transformation Layer
AWS S3 / Redshift
Storage & Warehouse
Docker
Environment Parity

How You Will Learn

Live Mentor Sessions

Pipeline design walkthroughs

Messy Datasets

Late, duplicated, corrected data

Failure Drills

Practise backfills and re-delivery

Code Reviews

Feedback on modelling decisions

Recorded Lessons

Concept revision

Doubt Support

Clear your queries

Project Roadmap

A rigorous 4-project spine that mirrors actual industry workflows, augmented by targeted add-on mini-projects.

Core 4-Project Spine

Step-by-step development phases mirroring real assessment rounds

★ Industry Mirrored
Solo Project 1
Week 1
Mirrors: SQL round
Project Brief

Build a batch pipeline to a specified schema with defined data quality checks.

Solo Project 2
Weeks 2–3
Mirrors: Data modeling / pipeline system design
Project Brief

Source data arrives late, duplicated and occasionally corrected after the fact. Design for it. Correctness under re-delivery is the grade.

Pair Project
Week 4
Mirrors: ETL/pipeline system design (2026 differentiator)
Project Brief

One student owns ingestion and one owns the serving model, against a shared contract that must be versioned when it changes.

Capstone
Weeks 5–6
Mirrors: Full funnel, end to end
Project Brief

Student-proposed pipeline with lineage, quality monitoring and a documented backfill procedure.

3 Targeted Mini-Projects

Hands-on skill builders covering practical tools & concepts

★ Build & Verify
1
Hashing

Deduplication layer for ingested records

2
Heaps

Streaming top-k / windowed-aggregation processor

3
Sorting/Searching at Scale

External-sort routine for a dataset too large for memory

Built for Recruiter Review

Your Portfolio Output

Your SkillCred portfolio isn't a static resume. It is a live, verified candidate profile showcasing working architectures, clean code, and assessment scores structured for recruiter review.

Verified PAT Score

Recruiters filter candidates by actual competency scores across system design and code quality.

Architecture & Implementation

Showcase the real-world systems you designed and deployed, not just code snippets.

Target Career Roles

Data Engineer
Analytics Engineer
ETL Developer
Data Platform Engineer
Junior Data Engineer
SC

Candidate #SC-7241

PAT ID: pat_8291_active

★ PAT Certified
Sample Profile — Illustrative Only
Recruiter Skill Matches:
SQL
Spark
Kafka
Airflow
Verified Project Catalog:
Real-Time Log ETL Pipeline

Log ingestion and cleaning pipeline utilizing Kafka, Apache Spark, and AWS S3.

✓ Mentor Verified
Apache SparkKafkaAWS S3Python
Throughput (msg/s)93/100
ETL Integrity96/100

Mentor Support & Frequently Asked Questions

Understand how working professionals review your code every week and get answers to common questions before starting your journey.

Mentor Support & Verification

Our mentors don't just teach — they verify your skills. Every project you build is reviewed, ensuring you meet industry standards before you get certified.

  • Assign project tracks
  • Review code and architecture
  • Verify project completion
  • Approve assessment eligibility
  • Issue recommendation letters
  • Validate portfolio entries
Mentor Verified

Projects Are Not Self-Assessed

"You cannot certify yourself. A working professional mentor must start, review, and approve your work."

Frequently Asked Questions

Do I need prior SQL experience?

No — SQL fundamentals are covered before the first pipeline project.

Will I work with real data volumes?

Yes — projects use datasets large enough that in-memory approaches fail, which is the point.

Is cloud infrastructure included?

Yes — pipelines are deployed against cloud storage and a warehouse.

What makes this different from a data science track?

Data science asks what the data means. This track makes sure the data arrives, correctly, every time.

Lock in Your Pilot Pricing

Secure your spot today with a fully refundable deposit. Fully credited toward your final enrollment balance.

Pilot cohort pricing available.