Data Engineeering
PG Certification in Data Engineering
Go from SQL fundamentals to production-grade pipelines on Azure and the cloud — mentored by data engineers who've built these systems at Mastercard and beyond.
150+ hours. 35+ tools. 12+ industry projects.
Who is it for?
Learn Tools Like
Where Most People Get Stuck — And How This Program Is Built Around It
"I can write SQL, but I've never actually built a pipeline that runs in production."
You'll build and own real pipelines end to end, not just query a finished dataset.
"I don't have anyone senior to ask when I'm stuck."
Your mentors are people currently doing this work at Mastercard and beyond — not career instructors reading a slide deck.
"There are a hundred data tools out there. I don't know where to start."
We picked the 35+ tools that show up in real job postings, in the order you'd actually learn them on the job — not everything, just what matters.
"Bootcamp projects always look like fake, sanitized exercises that recruiters ignore on a resume."
You won't be working with clean CSVs or toy datasets. You’ll build messy, real-time streaming data pipelines with simulated edge-case failures, cloud deployments, and scale—giving you architectural stories you can confidently defend in tough interviews.
Curriculum Built for Job-Ready Impact
Six modules, 150+ hours, 35+ tools — sequenced the way you'd actually use them on the job. Tap any module to see what's inside.
Programming & SQL Foundations
The base everything else builds on — Python and SQL, taught for data work specifically, not as generic programming 101.
- Python for data engineering: data structures, scripting, and automation
- Advanced SQL: joins, window functions, and query optimization
- Version control fundamentals with Git
Data Engineering Fundamentals
Where "I can write a query" starts becoming "I can own a pipeline."
- Data ingestion patterns: batch vs. streaming
- Storage systems and schema design
- ETL vs. ELT — why and when each applies
Big Data & Processing Tools
The tools that show up in almost every data engineering job posting you'll see.
- Distributed processing with Apache Spark
- Real-time streaming with Kafka
- Hadoop ecosystem fundamentals
Cloud Platforms & Orchestration
Building and scheduling pipelines the way they actually run in production.
- Azure Data Factory: building and scheduling pipelines
- Workflow orchestration with Apache Airflow
- Infrastructure provisioning across AWS, Azure, and GCP
Data Warehousing & Analytics Engineering
Where your pipelines start feeding something people actually look at.
- Modern warehouse design and dimensional modelling
- Connecting pipelines to BI tools
- Performance tuning for analytics workloads
Capstone Project
The project you'll actually open and walk through in an interview.
- End-to-end pipeline: ingestion through transformation to a working dashboard
- Built to be defended, not just submitted
- 1:1 mentor review and feedback
Taught by People Currently Doing the Work
Not full-time trainers reciting slides — practitioners building these systems inside Mastercard, PayTM, and beyond.
Amit Mishra
Lead Data Engineering Trainer
Big Data & Cloud Leader
Ashok Padmanabhan
Corporate Consultant & Trainer
ETL & Data Architecture Expert
Dipanshu Shekhar
Manager, Data Engg. Mastercard
Big Data, ETL & AWS Expert
Devesh Pandey
Senior Tech Lead PayTM
ML/AI & GenAI Leader
Hear it from the Learners
"As a student, the exposure to Azure Data Factory and Python automation was priceless. It’s helped me build a solid portfolio."
Secure your spot now!
PG Certification in Data Engineering
We cover 150+ hours, 35+ tools, 12+ industry projects.
SkilD’s PG Certification in Data Engineering is designed to equip you with industry-ready skills in data pipelines, cloud infrastructure, and big data analytics. Our program is outcome-oriented, bridging the gap between academic learning and real-world applications, and preparing you for in-demand roles that act as a precursor to AI and advanced analytics.
Trust our learning solutions
- Lifelong Career support for select few learners
- Unlock exclusive opportunities through our professional network
- Gain practical insights of the industry to choose your next career move
Ready To Become an In-Demand Data Engineer?
Add-ons
- Cloud Access
- Interview Prep & Placement Support (case studies, mock interviews, 3 sessions)
- SkilD Membership
SkilD Certificate of Completion
TALK TO US
Book a Free Career Consultation
- Book a Consultation call with our Placement Experts
- Register for a Webinar to know the program & jobs in a domain
- These are NOT your typical sales calls.
