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3rd Floor, Sahay Complex, Near IIM Tiraha, Lucknow | Admissions Open 2026–27
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Data Analytics & Engineering High demand 2026

Data Engineering (Spark, Databricks, Snowflake, Azure/AWS) Course in Lucknow & Online

Build the pipelines every data team depends on.

Course at a glance
Data Engineering at BPST Academy, Lucknow is a 3 – 4 months course covering Advanced SQL & Modelling, Python & PySpark, Cloud Ingestion, Databricks & Delta Lake. It suits freshers with SQL basics, data analysts, developers and ETL/BI professionals. Classes run in the Lucknow classroom and live online. Until Diwali (8 Nov 2026) you can pre-book a seat for ₹49, adjusted in the course fee.
Duration
3 – 4 Months
Level
Intermediate
Mode
Classroom · Online
Pre-book
₹49 till Diwali
Diwali gift
₹49

Reserve your seat in the next Data Engineering batch. Adjusted in your course fee.

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What Is the Data Engineering Course?

Learn modern data engineering: advanced SQL, Python and PySpark, warehouse modelling, Azure Data Factory / AWS Glue, Databricks with Delta Lake, Snowflake, Kafka streaming and Airflow/dbt orchestration — ending in a full lakehouse project.

Who is it for?

Freshers with SQL basics, data analysts, developers and ETL/BI professionals.

Prerequisites

Basic SQL and any programming language.

Data Engineering Syllabus — Module by Module

Module 01
Advanced SQL & Modelling
  • Window functions & optimisation
  • Star & snowflake schemas
  • Slowly changing dimensions
  • Data quality checks
Module 02
Python & PySpark
  • Python for data engineering
  • Spark architecture
  • DataFrames & Spark SQL
  • Performance tuning
Module 03
Cloud Ingestion
  • Azure Data Factory
  • AWS Glue & S3
  • Incremental loads
  • Orchestration patterns
Module 04
Databricks & Delta Lake
  • Lakehouse & medallion architecture
  • Delta Lake ACID tables
  • Unity Catalog
  • Jobs & workflows
Module 05
Snowflake & Streaming
  • Snowflake warehouses & stages
  • Snowpipe
  • Kafka fundamentals
  • Structured streaming
Module 06
Orchestration & Capstone
  • Apache Airflow DAGs
  • dbt transformations
  • CI/CD for data
  • Lakehouse capstone project

Projects, Outcomes & Tools

Projects you build

  • Retail lakehouse on Databricks (bronze → gold)
  • Real-time order stream with Kafka + Spark
  • Snowflake warehouse with dbt models

You will be able to

  • Design batch and streaming pipelines
  • Model data for analytics at scale
  • Work confidently on Azure/AWS data stacks

Tools & tech

SQLPythonPySparkDatabricksDelta LakeSnowflakeAzure Data FactoryAWS GlueKafkaAirflowdbt

Maps to Microsoft DP-700, Databricks Data Engineer Associate and SnowPro Core

How Is Data Engineering Taught at BPST Academy?

Every batch follows our simulated software-company model: fundamentals first, daily hands-on coding, team formation with real roles, Agile sprints with daily stand-ups, code reviews, testing and live deployment — guided by working IT professionals who act as your project managers.

Daily hands-on practice

Write and debug code in every session, not just watch slides.

Mentor as project manager

Sprints, pull-request reviews and deadlines like a real team.

Live, demo-able projects

Your work goes on GitHub and a live URL recruiters can open.

Data Engineering — Frequently Asked Questions

Data Engineering runs for 3 – 4 Months. You can study in the Lucknow classroom (3rd Floor, Sahay Complex, Near IIM Tiraha) or join the same batch live online from anywhere in India.

Freshers with SQL basics, data analysts, developers and ETL/BI professionals. Prerequisite: Basic SQL and any programming language.

The course fee depends on the duration and mode you choose and is shared with you on WhatsApp right after pre-booking. As a Diwali gift, you can reserve your seat for just ₹49 until 8 November 2026 (23:59 IST). The ₹49 is adjusted in your course fee.

Yes. Maps to Microsoft DP-700, Databricks Data Engineer Associate and SnowPro Core. You also leave with project work you can show to employers.

Yes — we provide job assistance: resume and LinkedIn/Naukri profile reviews, mock technical and HR interviews, and relevant interview opportunities. We do not make placement-guarantee claims; we make sure your skills and portfolio are genuinely job-ready.

Last updated 2026-09-25

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