Data Engineering Training & Certification Course (96 Hours Master Program)

Data Engineering Training: The Data Engineering Training programme by SkilBrill is a comprehensive 16-week (96-hour) hands-on program covering Data Engineering Training. Available in classroom (Chennai Thoraipakkam), live online, and hybrid modes across India.

Total Duration16 Wks (96 Hours)
Training ModesClassroom / Online
CertificationsSkilBrill Certificate
Key StackData Engineering Training
PrerequisitesBasic IT. No coding required
Placement200+ Hiring Partners

Who Should Join?

Build job-ready Data Engineering Training skills with live labs, projects, and placement support.

  • ✓Working professionals: Upskilling into Data Engineering Training with production-style labs.
  • ✓Fresh graduates: CS and IT graduates aiming for Data Engineering Training roles.
  • ✓Career switchers: Moving from adjacent IT roles into this stack.
  • ✓Consultants: Adding Data Engineering Training to client delivery skills.
Fee: ₹15,000 – ₹75,000100% Practical Labs
96-Hour Syllabus

12-Module Data Engineering Curriculum

Data Engineering Training is a 16-week (96-hour) SkilBrill programme covering Data Engineering Training. Delivery is classroom, live online and hybrid. The 12 modules below are the full syllabus — about 8 hours each, with labs. Completing them prepares you for SkilBrill Certificate and placement support.

1
Foundations

M1: M1 — Data Engineering Foundations

The data engineering lifecycle, Batch vs streaming trade-offs, Source-of-truth modelling concepts

2
Foundations

M2: M2 — SQL and Python for Data Engineers

Window functions and CTEs, Pandas and Polars essentials, PySpark in 90 minutes

3
Foundations

M3: M3 — Relational Modelling and Warehousing

Star schema and snowflake, Slowly Changing Dimensions (SCD2), Surrogate keys and audit columns

4
Core Skills

M4: M4 — ETL and ELT Pipelines

Extract patterns: CDC, APIs, files, Transform with SQL, Spark, dbt, Load: warehouse, lake, lakehouse

5
Core Skills

M5: M5 — Orchestration with Apache Airflow

DAGs, operators and sensors, Backfills and SLAs, Idempotency and retries

6
Platform

M6: M6 — Streaming with Apache Kafka

Topics, partitions, consumer groups, Exactly-once semantics, Schema Registry and Avro

7
Platform

M7: M7 — Distributed Compute with Apache Spark

Spark architecture and DAGs, Structured Streaming APIs, Partitioning and shuffle tuning

8
Governance

M8: M8 — Lakehouse and Delta Lake

Medallion (bronze/silver/gold) architecture, Delta time travel and OPTIMIZE, Schema enforcement and MERGE

9
Governance

M9: M9 — Data Quality and Observability

Great Expectations / Soda checks, Data contracts and lineage, Monitoring freshness, volume, quality

10
Advanced

M10: M10 — CI/CD and Infra-as-Code for Data

Git, CI pipelines and pull-request reviews, IaC with Terraform for data stacks, Schema migrations

11
Advanced

M11: M11 — Performance, Cost and Security

Query optimisation and Z-ordering, Cost tuning across Snowflake / Databricks, Row/column-level security

12
Capstone

M12: M12 — Capstone and Interview Prep

End-to-end lakehouse build, Failure-mode simulation, Behavioural and case interviews

Frequently Asked Questions

Data Engineering Training at SkilBrill is a live programme with labs, a completion certificate and placement support. The questions below cover eligibility, duration, tools, projects and how to enrol.

What is Data Engineering Training at SkilBrill?

A 16-week (96-hour) programme covering SQL, Python, Spark, Airflow, Kafka, Delta Lake, dbt, lakehouse design, CI/CD and observability. The capstone ships a production-style medallion lakehouse on cloud.

Is this the same as Azure or AWS Data Engineering?

No. This is the vendor-neutral, end-to-end Data Engineering flagship that sits above cloud-specific tracks. Azure and AWS Data Engineering extend this curriculum to a single cloud provider.

What are the prerequisites?

Basic Python and SQL. No prior Spark, Airflow or cloud experience is required; fundamentals are taught from scratch.

Which tools will I learn?

Python, SQL, Apache Spark, Apache Airflow, Apache Kafka, Delta Lake, dbt, Snowflake and Databricks, plus Terraform for IaC and Great Expectations for data quality.

Does it prepare me for cloud certifications?

Yes. The syllabus maps to DP-203 (Azure Data Engineer Associate), DEA-C01 (AWS Data Engineer Associate) and DE-Associate patterns. You receive mapped mocks and last-mile revision.

Is the training online or classroom?

Both, plus hybrid. Classroom is at SkilBrill, No. 22, 200 Feet Radial Road, Thoraipakkam, Chennai 600097. Live online and hybrid batches use the same faculty and labs.

What is the typical salary after this programme?

Data Engineers in India typically start at ₹6 – 10 LPA and reach ₹14 – 16 LPA within 2 – 3 years. Call +91 8610964691 for placement details.

How do I enrol?

Call +91 8610964691 or WhatsApp 918610964691. The next batch starts the first Monday of the following month.

How long is the Data Engineering Training course at SkilBrill?

SkilBrill's Data Engineering Training programme runs for 16 weeks with 3 sessions per week (2 hours each), totalling 96 classroom hours across 12 modules. Weekday, weekend and evening batches are available.

Why should I learn Data Engineering Training at SkilBrill?

SkilBrill Training Institute in Thoraipakkam, Chennai delivers Data Engineering Training with working-professional trainers, production-style labs and placement support. The programme is 16 weeks (96 classroom hours) with weekday, weekend and evening batches in classroom, live online and hybrid modes.

Does SkilBrill provide placement support after Data Engineering Training?

Yes. Eligible SkilBrill learners receive resume building, LinkedIn optimisation, Data Engineering Training mock interviews, project explanation practice and placement assistance with 200+ hiring partners. Call +91 8610964691 for the current process.

How do I enroll in Data Engineering Training at SkilBrill?

Use the Enroll form on this page, call +91 8610964691, or WhatsApp 918610964691. Share your name, email and preferred mode (online, classroom or one-to-one) and a counsellor will confirm the next Data Engineering Training batch. Fees currently range ₹15,000 – ₹75,000.

Where is SkilBrill Training Institute located?

SkilBrill is at No. 22, 200 Feet Radial Road, Thoraipakkam, Chennai 600097, on the OMR IT corridor, about five minutes from Thoraipakkam Metro. Classroom batches for Data Engineering Training run here; online learners join the same faculty remotely.

SkilBrill's Training programmes also include IAM Training, SailPoint Training, Azure Data Engineering Training and SOC Training.

Data Engineering Training

Categories: Data Engineering

About Course

About Data Engineering Training

Master end-to-end data engineering: SQL, Python, Spark, Airflow, Kafka, lakehouse and streaming.

16-week Data Engineering Training: SQL, Python, Spark, Airflow, Kafka, Delta Lake, lakehouse, dbt, CI/CD, cloud. Live labs + placement at SkilBrill.

Course Overview

16-week Data Engineering Training: SQL, Python, Spark, Airflow, Kafka, Delta Lake, lakehouse, dbt, CI/CD, cloud. Live labs + placement at SkilBrill.

Why Learn Data Engineering Training

Indian GCC, SI and product teams actively hire data engineering professionals who can deliver from day one. This programme builds both the certification spine and the production scenarios hiring screens look for.

Who Should Join This Course

  • Fresh graduates — Targeting data engineer roles in GCC / product / SI teams.
  • SQL / BI developers — Moving from ETL reporting to production data pipelines.
  • Software engineers — Pivoting into data platform engineering.
  • Analytics engineers — Adopting modern lakehouse / dbt patterns end to end.

Prerequisites

Basic programming (Python preferred) and SQL fundamentals. No prior cloud required.

Learning Objectives

  • Design and ship production ELT and ETL pipelines
  • Build lakehouse architectures with Spark, Delta and dbt
  • Orchestrate workflows with Apache Airflow and event-driven Kafka
  • Model data with star schema, SCD2 and dimensional design
  • Implement CI/CD, infra-as-code, and observability for data
  • Pass DP-203 / DEA style certification mocks

Tools and Technologies

Python, SQL, Apache Spark, Apache Airflow, Apache Kafka, Delta Lake, dbt, Snowflake, Databricks.

Career Opportunities After This Programme

  • Data Engineer
  • Analytics Engineer
  • Big Data Engineer
  • Cloud Data Engineer
  • Lakehouse Architect

Hands-on Labs and Capstone

Capstone: Build a multi-source medallion lakehouse: ingest Kafka CDC + REST + files into bronze, transform with Spark and dbt into silver, and serve a star schema gold layer in Snowflake/Databricks with Airflow orchestration, Great Expectations data-quality gates and GitHub Actions CI/CD.

Production scenario: A nightly Airflow job starts failing intermittently with backpressure. Tune Spark partitioning, switch to OPTIMIZE + Z-ordering, and add data-quality checks so failures surface before downstream consumers.

Course Duration, Mode and Certification

The course runs for 16 weeks (96 hours). Modes: Classroom / Live Online / Hybrid. Certifications mapped: SkilBrill Certificate, DE-Associate (cross-cloud).

Why Train at SkilBrill

SkilBrill Training Institute in Thoraipakkam, Chennai focuses on making you employable. Trainers are working professionals, practice mirrors real job environments, and the placement cell connects eligible candidates with hiring companies. Fee: ₹45,000 – ₹75,000. Enquire on +91 8610964691.

Career and Job Support

  • Resume assistance tailored to Data Engineering roles
  • LinkedIn profile rewrite and recruiter outreach
  • Mock interviews with production failure scenarios
  • Capstone project explanation preparation
  • Placement assistance with 200+ hiring partners
  • Typical salary band after completion: ₹6 – 16 LPA

Frequently Asked Questions

What is Data Engineering Training at SkilBrill?

A 16-week (96-hour) programme covering SQL, Python, Spark, Airflow, Kafka, Delta Lake, dbt, lakehouse design, CI/CD and observability. The capstone ships a production-style medallion lakehouse on cloud.

Is this the same as Azure or AWS Data Engineering?

No. This is the vendor-neutral, end-to-end Data Engineering flagship that sits above cloud-specific tracks. Azure and AWS Data Engineering extend this curriculum to a single cloud provider.

What are the prerequisites?

Basic Python and SQL. No prior Spark, Airflow or cloud experience is required; fundamentals are taught from scratch.

Which tools will I learn?

Python, SQL, Apache Spark, Apache Airflow, Apache Kafka, Delta Lake, dbt, Snowflake and Databricks, plus Terraform for IaC and Great Expectations for data quality.

Does it prepare me for cloud certifications?

Yes. The syllabus maps to DP-203 (Azure Data Engineer Associate), DEA-C01 (AWS Data Engineer Associate) and DE-Associate patterns. You receive mapped mocks and last-mile revision.

Is the training online or classroom?

Both, plus hybrid. Classroom is at SkilBrill, No. 22, 200 Feet Radial Road, Thoraipakkam, Chennai 600097. Live online and hybrid batches use the same faculty and labs.

What is the typical salary after this programme?

Data Engineers in India typically start at ₹6 – 10 LPA and reach ₹14 – 16 LPA within 2 – 3 years. Call +91 8610964691 for placement details.

How do I enrol?

Call +91 8610964691 or WhatsApp 918610964691. The next batch starts the first Monday of the following month.

Related Courses

Data Engineering Training Locations

Quick Facts

Total Duration16 weeks (96 hours)
Training ModesClassroom / Live Online / Hybrid
CertificationsSkilBrill Certificate, DE-Associate (cross-cloud)
Key StackPython, SQL, Apache Spark, Apache Airflow, Apache Kafka, Delta Lake, dbt, Snowflake, Databricks
PrerequisitesBasic programming (Python preferred) and SQL fundamentals. No prior cloud required.
Fee₹45,000 – ₹75,000 (INR)
Placement200+ Hiring Partners
Typical Salary₹6 – 16 LPA

Summary

SkilBrill’s Data Engineering Training is a 16 weeks, 96-hour job-oriented programme covering Python, SQL, Apache Spark with placement support. Classroom, live online and hybrid modes. Call +91 8610964691 to enrol.

Real-World Projects

Capstone Project

Build a multi-source medallion lakehouse: ingest Kafka CDC + REST + files into bronze, transform with Spark and dbt into silver, and serve a star schema gold layer in Snowflake/Databricks with Airflow orchestration, Great Expectations data-quality gates and GitHub Actions CI/CD.

Production Scenario

A nightly Airflow job starts failing intermittently with backpressure. Tune Spark partitioning, switch to OPTIMIZE + Z-ordering, and add data-quality checks so failures surface before downstream consumers.

Data Engineering Training locations

Enroll in Data Engineering Training

Fee: ₹45,000 – ₹75,000. Call +91 8610964691 or WhatsApp.

Show More

What Will You Learn?

  • Design and ship production ELT and ETL pipelines
  • Build lakehouse architectures with Spark, Delta and dbt
  • Orchestrate workflows with Apache Airflow and event-driven Kafka
  • Model data with star schema, SCD2 and dimensional design
  • Implement CI/CD, infra-as-code, and observability for data
  • Pass DP-203 / DEA style certification mocks

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