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.
4,200+
Learners Trained
82%
Avg. Salary Hike
139+
Hiring Partners
Admissions close 16 Aug · Program starts 22 Aug 2026 ·
Phase 1 closes 30 Jul — 17 seats reserved so far
The Numbers Behind the Promise
Not a pitch — just what this program actually adds up to, so far.
4,200+
Learners
Trained
139+
Hiring
Partners
82%
Avg. Salary
Hike
150+
Hours of
Content
35+
Tools &
Technologies
12+
Industry
Projects
Built for Where You're Starting From
Four different starting points. One program that meets each of them where they actually are.
Engineering & Tech Graduates
You know the theory — this is where you build pipelines companies actually run in production.
Transitioning Professionals
Coming from a different tech role? Leave with a portfolio that argues for you, not just a certificate.
Upskill & Reskill
Already working in data? This closes the gap between writing a query and owning a pipeline end to end.
Non-Tech Enthusiasts
No engineering background required — the first month builds the foundation everything else stands on.
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.
Tools You'll Actually Use
A few of the 35+ tools covered across the program.
Languages & Querying
Py
Python
Big Data & Processing
Sp
Apache Spark
Ka
Apache Kafka
Ha
Apache Hadoop
Orchestration & Cloud
Af
Apache Airflow
Az
Microsoft Azure
AWS
Amazon AWS
GC
Google Cloud
Warehousing & Analytics
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
Why Data Engineering, Right Now
Every AI model, every dashboard, every analytics team depends on a pipeline someone has to build. The market reflects it — from India's hiring data to global industry forecasts.
42%
Data skills gap reported by BFSI Global Capability Centres in India — one of the largest hiring segments for data engineers.
India Decoding Jobs Report, 2026
40–60%
What data engineers now out-earn data analysts by, at every experience level, in India's 2026 job market.
Industry Salary Analysis, 2026
$105B → $213B
Global data engineering services market size today, projected to nearly double by 2031.
Mordor Intelligence, 2026
8%
Projected growth for data engineer roles through 2032 — among the fastest-growing job categories tracked.
U.S. Bureau of Labor Statistics
How SkilD Compares
Not a knock on anyone specific — just what tends to be true across most data engineering programs, and where we've deliberately built differently.
On Completion
Finish With a Certificate Worth Showing
Add it to your resume, share it on LinkedIn, or bring it to your next interview — a straightforward record that you built real data pipelines, not just watched someone else build them.
- Awarded on completing all program requirements — modules, projects, and the capstone
- Carries the SkilD name and program details, ready for your resume
- Shareable directly to LinkedIn the moment you're certified
Hear It From Learners Like You
Students, working professionals, career switchers — real people, in their own words.
“
The hands-on exposure to Azure Data Factory and Python automation was priceless as a student — it's what let me walk into interviews with a real portfolio, not just a certificate.
Aditya Kulkarni
NIIT
“
What stood out was how practical every session was — real examples, not just slides, and doubts actually got resolved instead of piling up.
Sneha Verma
Developer
“
Amit sir has a way of breaking down complex topics until they actually feel achievable — that made all the difference early on.
Akhil Ranjan
NIT Trichy
“
Balancing this with a full-time role at TCS was the real test, and the live-plus-recorded format made that possible — I never had to choose between a session and a work deadline.
Included With Every Enrollment
SkilD Membership
The parts of this program that don't come with an expiry date.
Career Support That Doesn't Expire
Resume reviews, mock interviews, and real guidance whenever you need your next move — not just in the weeks right after graduation.
A Network That Stays Reachable
The hiring partners and alumni already connected to this program don't disappear the day your batch ends.
A Program That Updates Itself
As the tools and the field shift, what you have access to shifts with it — you're not frozen at the syllabus from enrollment day.
What It Costs, and How You Get Started
Straightforward pricing, and exactly what happens after you apply — no surprises either way.
Total Program Fee
₹1,85,000
Incl. taxes
EMI available from ₹[X]/month*
*Final EMI terms confirmed at enrollment
What's Included
- Cloud Access
- Interview Prep & Placement Support Case studies, mock interviews, 3 sessions
- SkilD Membership
Secure payments via Razorpay, PayU, Stripe & PayPal (for international learners)
How Enrollment Works
Apply
Fill out the enrollment form with your background and course preference.
Talk to an Advisor
A short call to check this program actually fits where you're headed — not a sales pitch.
Confirm Your Seat
Secure your spot within your admission phase — pay in full or set up EMI.
Start Learning
Get platform access and join your first live session on commencement day.
Questions You're Probably Asking
Organized by what's actually on your mind, not by what's easiest for us to answer.
Talk to Us
Not Ready to Enroll Yet? Let's Talk First.
Book a free consultation with our placement experts, or join a live webinar to see the program and job outcomes before committing. These aren't your typical sales calls — just a real conversation about whether this is the right next step for you.
Admissions close 16 Aug · Program starts 22 Aug 2026
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