About Course
About Data Engineering Training
Pune's Magarpatta, Hinjewadi and Kharadi IT hubs have consistent demand for job-ready professionals. The programme delivers the same production-grade training offered in other major cities.
The programme covers the same Data Engineering Training curriculum delivered across India, with live online sessions, hands-on practice and career support tailored for learners in Pune.
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
- Azure Data Engineering
- Aws Data Engineering
- Snowflake Training
- Data Engineering With Snowflake Training
- Data Science