Skip to main content
Skip to main content
Tutorsbot

Data Platform Engineering Training

Join Data Platform Engineering training covering go, spark, AWS, Kafka, dbt with live instructor-led sessions. This 28+ hour programme is designed to help you design a production-grade lakehouse using delta lake, iceberg, or hudi. Placement assistance, mock interviews, and industry-recognised certification included.

★4.7(23,314 reviews)
Enrol Now
Call NowWhatsApp Us
Data Platform Engineering Training

28+

Hours

5

Modules

20

Topics

4.7

Rating

New

Batches weekly

About Data Platform Engineering Training

Join Data Platform Engineering training covering go, spark, AWS, Kafka, dbt with live instructor-led sessions. This 28+ hour programme is designed to help you design a production-grade lakehouse using delta lake, iceberg, or hudi. Placement assistance, mock interviews, and industry-recognised certification included.

What This Training Covers

The Data Platform Engineering Training programme at Tutorsbot spans 28+ hours across 5 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current DevOps industry expectations and hiring patterns.

Enrollment & Training Quality

Data Platform Engineering Training is available in 4 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.

Course Curriculum

5 modules · 20 topics · 28 hrs

01

Lakehouse Architecture

10 topics

  • Data warehouse vs data lake vs lakehouse: trade-offs and convergence
  • Delta Lake: ACID transactions, time travel, and schema enforcement
  • Apache Iceberg: partitioning evolution, row-level deletes, and branching
  • Apache Hudi: copy-on-write vs merge-on-read for streaming upserts
  • Open table format comparison: Delta Lake vs Iceberg vs Hudi
  • Medallion architecture: Bronze, Silver, and Gold layers
  • Object storage as the foundation: S3, ADLS, and GCS integration
  • Query engines on lakehouse: Trino, Spark, and DuckDB
  • Catalog services: AWS Glue Catalog, Hive Metastore, and Nessie
  • Z-ordering and data skipping for query performance optimisation
02

Data Ingestion and ELT

10 topics

  • Batch ingestion patterns: full load, incremental, and CDC
  • Change Data Capture (CDC) with Debezium and Kafka Connect
  • ELT over ETL: loading raw data first for flexibility
  • dbt (data build tool) for transformation in the warehouse
  • dbt models, tests, docs, and incremental materialisation strategies
  • Airbyte and Fivetran for managed connector-based ingestion
  • Spark Structured Streaming for real-time lakehouse ingestion
  • Apache Flink for stateful stream processing at scale
  • Schema evolution handling in streaming pipelines
  • Data landing zones and idempotent ingestion design
03

Orchestration and Pipelines

Topics included

2 more modules available

Enter your details to unlock the complete syllabus

See Full Syllabus

Enter your details to view all modules

We respect your privacy. No spam, ever.

Salary & Career Outcomes

What Data Platform Engineering Training graduates earn across roles and cities

40%

Average salary hike after course completion

45 days

Median time to job offer after graduation

Target Roles & Salary Ranges

Data Platform Engineering Associate

0-2 years

₹4L - ₹8L

TCSInfosysWipro

Data Platform Engineering Specialist

2-5 years

₹8L - ₹18L

AccentureCognizantCapgemini

Senior Data Platform Engineering Consultant

5+ years

₹18L - ₹35L

DeloitteKPMGEY

Salary by City & Experience

CityFresherMid-LevelSenior
Bangalore₹5L₹14L₹28L
Hyderabad₹4.5L₹12L₹24L
Chennai₹4L₹11L₹22L
Pune₹4.5L₹12L₹24L

Career Progression

Fresher

Data Platform Engineering Associate

After completing the course with projects

Data Platform Engineering Associate

Data Platform Engineering Specialist

2-3 years of hands-on experience

Data Platform Engineering Specialist

Senior Data Platform Engineering Consultant

5+ years with leadership responsibilities

Enrol in This Course

All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Sept 2026.

✓ 7-day refund guarantee✓ Same certificate for all formats✓ Lifetime access to recordings

Online Live

Live instructor-led sessions from anywhere, with recordings for catch-up.

₹28,000incl. GST

GST ₹4,271 included

EMI from ₹4,667/mo

or

Tools & Technologies

Hands-on with the production stack used in Data Platform Engineering Training

Version Control

GGit

IDE

VVS Code

About Data Platform Engineering Training at TutorsBot

TutorsBot's Data Platform Engineering course covers lakehouse architecture, data ingestion and ELT patterns, pipeline orchestration, Data Mesh integration, data quality, and observability — the complete engineering stack for building enterprise-grade data platforms at scale. It's available as TutorsBot's flagship Data Platform Engineering Training programme, with live online and classroom batches running weekly. The 28-hour programme is lab-heavy and architecture-focused. Trainers have designed and operated data platforms at product companies and global delivery centres in Bangalore and Hyderabad. Batch size: 15.

Why Data Platform Engineering? The Numbers Don't Lie

Data platform engineers in India earn ₹20–40 LPA at senior levels. It's one of the highest-paying specialisations in the data domain right now. Companies building unified analytics, ML serving, and reporting infrastructure need engineers who understand lakehouse design, format choices like Delta Lake and Iceberg, and observability — not just pipeline coding. Is your current data engineering work platform-level or pipeline-level? This course is specifically for engineers who want to move up that ladder.

Trained by Working Data Platform Engineers

Our trainers have designed lakehouse architectures on AWS, Azure, and GCP, migrated data warehouses to Delta Lake formats, and built platform monitoring systems that catch data quality failures before reports reach stakeholders. The lead instructor has 11 years of data platform experience at analytics companies in Bangalore and Chennai. They've made the architecture decisions that live in production today — and they teach the reasoning behind each choice, not just the tooling steps.

Certification That Gets You Hired

Completing this course earns a TutorsBot Data Platform Engineering certification alongside portfolio evidence of a complete lakehouse implementation with ingestion, transformation, governance, and observability components. Employers searching for Data Platform Engineering Certification Training holders find TutorsBot graduates consistently among the best-prepared candidates. Platform engineering roles are decided in architecture design interviews — the system design thinking built in this course is what clears those rounds.

Data Platform Engineering Jobs: Market Demand in 2026

Demand for data platform engineers is growing as Indian enterprises move from siloed data tools to unified lakehouse and data mesh architectures. Product companies and global delivery centres in Bangalore, Hyderabad, and Pune are building dedicated platform teams to manage the infrastructure that analytics and ML teams depend on. Senior data platform engineers command ₹20–38 LPA. Entry to mid-level roles for engineers with the right platform architecture background start at ₹14 LPA.

Who Should Join This Course

You should have 1–2 years of data engineering experience and working knowledge of Python, SQL, and at least one cloud platform. Understanding how data warehouses and data lakes work is essential. If you've built pipelines but haven't designed the platform those pipelines run on, this course bridges that gap.

What You'll Actually Be Able to Do

After this course, you'll design a production-grade lakehouse using Delta Lake, Apache Iceberg, or Apache Hudi, implement ELT ingestion patterns with modern ingestion tools, orchestrate pipelines with Airflow or Prefect, integrate data mesh ownership models into platform design, implement data quality validation with automated alerting, and configure data observability using platform-native and third-party monitoring tools. Platform engineering at production scale — end to end.

Tools You'll Work With Every Day

You'll work with Apache Spark and Delta Lake for lakehouse storage and processing, dbt for SQL-based ELT transformation, Apache Airflow for orchestration, Fivetran or Airbyte for managed ingestion, Great Expectations for data quality, and Monte Carlo or Bigeye for data observability. Cloud targets covered include Databricks, AWS S3 with Glue, and Azure Data Lake Storage. Labs mirror real platform architectures — not simplified demos that skip the parts where platform engineering actually gets difficult.

Roles You Can Apply For After Training

Data Platform Engineering skills lead to roles like Senior Data Engineer, Data Platform Architect, Data Infrastructure Lead, Analytics Engineer, and Platform Engineering Manager. Salaries range from ₹18–40 LPA in Bangalore, Hyderabad, and Pune. Roles matching Data Platform Engineering Training are actively listed on Naukri, LinkedIn, and Glassdoor with consistent demand across major Indian cities. Platform engineering roles reward the architectural thinking that most data engineers develop over time on the job — or from a course like this.

Real Students, Real Outcomes

Data engineers who've completed this course have moved into platform lead and architecture roles within 6 months. One student from our Bangalore batch was promoted to Data Platform Lead at his company after presenting a lakehouse migration proposal built entirely from frameworks learned in the course. Another student from Hyderabad cleared the architecture design round at a unicorn startup that had rejected him twice before — the only thing that changed was this course. Platform thinking is the gap this course closes.

What You Get After Completion

Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.

Industry-Recognised Certificate

Earn a verified Tutorsbot certificate for Data Platform Engineering, validated through project submissions and assessments.

LinkedIn-importable·Permanent shareable URL·PDF download included

Portfolio of Real Projects

Build production-grade projects reviewed by your instructor. Walk through them in any technical interview.

Instructor code-reviewed·GitHub-hosted portfolio·Interview-ready demos

Placement & Career Support

Dedicated career coaching: resume reviews, mock interviews, LinkedIn optimisation, and introductions to hiring partners.

1-on-1 career coaching·Mock interview rounds·Employer connect programme

Hands-On Lab Experience

Practical assignments and lab exercises that simulate real-world scenarios, ensuring you can apply skills from day one.

Cloud lab environments·Scenario-based exercises·Peer collaboration

Meet Your Instructor

Every Data Platform Engineering Training batch is led by a practitioner who teaches from production experience, not textbooks.

A

Arun Sharma

Verified

DevOps Engineering Lead

11+ yrs experience·Worked at Google, Flipkart, Zoho

DevOps evangelist with 11+ years automating CI/CD pipelines and container orchestration. Built deployment platforms serving millions of users.

How We Teach

  • Concepts start with a real problem so theory lands in context
  • Projects reviewed the way a senior colleague reviews pull requests
  • Every topic includes the kind of questions you'll face in interviews
Hire Trained Talent

Hire Data Platform Engineering Trained Professionals

Our Data Platform Engineering graduates come with verified project experience, industry-standard skills, and are ready to contribute from day one.

Why hire from us

Project-Verified Skills

Assessment-Backed Hiring

Placement-Ready Talent

Project-based portfolios available

IT Training in Major Cities

Frequently Asked Questions

Everything you need to know about Data Platform Engineering Training, answered by our training experts

1What is the fee / cost for Data Platform Engineering training?
TutorsBot's Data Platform Engineering programme is priced between ₹14,000 and ₹22,000. It's a 28-hour intermediate-to-advanced course covering lakehouse architecture, data ingestion and ELT, orchestration, and data mesh integration. Batch sizes are capped at 16 for the lakehouse lab sessions. The fee includes cloud sandboxes for Delta Lake and Apache Iceberg labs, Airflow environment access, and the TutorsBot Data Platform Engineer certificate. Some prior hands-on data engineering experience helps you get the most from the labs.
2What salary can I expect after Data Platform Engineering certification?
Data platform engineering pays well as you gain platform ownership. Data engineers moving into platform work in Bangalore and Hyderabad earn ₹15–30 LPA, with senior platform engineers architecting lakehouses and orchestration layers at product companies earning ₹40–65 LPA. Accenture, Deloitte, and Infosys data platform practices hire platform engineers at competitive package bands.
3What topics are covered in the Data Platform Engineering syllabus?
The programme covers lakehouse architecture — medallion architecture, Delta Lake, Apache Iceberg, and Apache Hudi compared. Data ingestion and ELT patterns using Airbyte, dbt, and cloud-native tools follow. Orchestration and pipelines covers Apache Airflow — DAG authoring, operators, sensors, and dynamic task mapping. The final module covers data mesh integration at the platform layer — how to build self-serve data infrastructure abstractions that domain teams can use without platform team involvement in every job. All labs use real open-source tools.
4How long does the Data Platform Engineering training take to complete?
28 hours total. Weekend batches complete in 5 to 6 weeks. Weekday evening batches take about 6 weeks. The lakehouse and Airflow modules are the densest and most lab-intensive — practice time between sessions directly determines how comfortably you move through the data mesh integration module. Most students with an existing data engineering background find 1–2 hours of lab work per week between sessions enough to stay comfortably ahead of the curriculum pace. Students without prior Airflow or lakehouse experience need more.
5Is Data Platform Engineering a good choice for freshers with no experience?
Not for complete freshers. This course assumes 1–2 years of data engineering practice — you'll get more from a lakehouse's ACID guarantees and Airflow's DAG model if you've maintained a data pipeline before. Freshers should complete our Data Engineering programme first and build some hands-on pipeline experience, then return for Data Platform Engineering. That sequencing produces far better outcomes.
6What are the prerequisites for Data Platform Engineering training?
1+ years of practical data engineering experience — Python pipelines, SQL at scale, cloud storage, and basic orchestration — is the right entry point. Familiarity with Apache Spark is strongly recommended for the lakehouse labs. SQL proficiency for ELT design is assumed. Basic cloud platform awareness on AWS, Azure, or GCP helps. dbt familiarity reduces the onboarding overhead in the ingestion module. Students from data engineering backgrounds in Bangalore and Hyderabad who join with Spark and Airflow exposure get the most from the lakehouse architecture design sessions.
7What job roles are available after completing Data Platform Engineering?
Data Platform Engineer, Senior Data Engineer with platform ownership, Lakehouse Architect, Data Infrastructure Engineer, and Analytics Engineering Lead are the primary roles. Bangalore, Hyderabad, and Pune lead for data platform hiring at product companies. Consulting firms staffing Databricks, AWS Analytics, and Azure Synapse platform projects in India also hire actively for this profile. It opens platform and architecture-track roles at data-mature companies, building on top of core data engineering skills.
8Is Data Platform Engineering certification worth it in 2026?
Yes — for data engineers looking to grow into platform and architecture work. Lakehouse architecture with Delta Lake or Iceberg, Airflow orchestration, and data mesh integration is the modern data platform stack. Companies replacing legacy data warehouses with cloud-native lakehouses need engineers who can design and operate these platforms end-to-end. The certification demonstrates depth that separates data engineers who maintain pipelines from those who design and own platform architecture. That distinction is exactly where the ₹40 LPA+ salary band sits in India's data engineering market.
9What is the scope and future demand for Data Platform Engineering professionals?
Outstanding. Every large organisation running a modern data stack needs someone who owns the platform layer — not just the pipelines running on top of it. India's move to cloud-native data infrastructure is still mid-transition at most enterprises. Databricks, AWS Glue, and Azure Synapse adoption is growing at BFSI, telecom, and e-commerce companies across Bangalore, Hyderabad, and Chennai. Platform engineering as a discipline is expanding rapidly. Data platform engineers who can build and operate lakehouses at scale will be in strong demand for the next 7–10 years.
10Can working professionals complete Data Platform Engineering training alongside their job?
28 hours over 5–6 weeks with weekend or evening batches fits the schedule of data engineers in full-time roles. The Airflow and Delta Lake labs can be run locally on Docker or against free-tier cloud accounts. Many students apply lakehouse design decisions from the course to actual migration projects they're running at work — that immediate applicability is both the best learning accelerator and the most practical outcome of the programme for working platform engineers.

Still have questions?

DevOps

More Courses Like This

View all

Ansible Training

40h · 40 classes
4 learning modesView details

Chef Training

40h · 40 classes
4 learning modesView details

Codacy Training

40h · 40 classes
4 learning modesView details

Consul Training

22h · 22 classes
4 learning modesView details

DevOps Training

45h · 45 classes
4 learning modesView details

DevSecOps Training

45h · 45 classes
4 learning modesView details