Data Engineering Course in Pune
Backbenchers Academy’s data engineering course in Pune makes you job-ready as a data engineer in 3 months. Learn Python, SQL, PySpark, AWS, Snowflake, Airflow and Kafka on real projects, then prepare for interviews with 1-to-1 mentors and up to 1 year of placement support.
- 1-to-1 mock interviews
- Resume and job portal help
- 620+ learners placed
- 4.9 on Google
Check Your Eligibility
Free to apply. We use your details only to contact you about this course.
Duration
3 months
Mode
Online, self-paced
Eligibility
Any graduate
Placement support
Up to 1 year
Projects
3 end-to-end
What Does a Data Engineer Do?
A data engineer builds the pipelines that turn raw data into tables a business can trust. The work follows five stages.
01
Collect
- Databases and APIs
- Files and app logs
Python · SQL
02
Ingest
- Scheduled batch loads
- Incremental loads and CDC
- Event streams
Kafka · Airflow
03
Process
- Clean and de-duplicate
- Join and aggregate at scale
PySpark · Spark SQL
04
Store
- Data lake on cloud storage
- Warehouse tables in a star schema
AWS S3 · Snowflake
05
Serve
- Dashboards and reports
- Analytics and ML teams
SQL · Snowflake
Data Engineering Syllabus: 3-Month Roadmap
Eight modules in the order a real pipeline is built.
Month 1
Foundations
Module 1: Python for Data Engineering
- Data types, functions and error handling
- Files, JSON and REST APIs
- pandas for cleaning data
- Linux command line basics
Module 2: SQL and Data Modelling
- Joins, CTEs and window functions
- Indexes and query plans
- Star and snowflake schemas
- Slowly changing dimensions
Module 3: Data Engineering Fundamentals and ETL
- Batch vs streaming, ETL vs ELT
- Data lake, warehouse and lakehouse
- Incremental loads and CDC
- Data quality checks and logging
Month 2
Processing and Warehousing
Module 4: Apache Spark and PySpark
- DataFrames and Spark SQL
- Lazy evaluation, transformations and actions
- Parquet, Avro and partitioning
- Shuffles, caching and broadcast joins
Module 5: Data Warehousing with Snowflake
- Virtual warehouses, databases and stages
- Loading and transforming data
- Clustering and query performance
- Access control and cost basics
Month 3
Cloud, Orchestration and Projects
Module 6: AWS for Data Engineering
- S3 data lake zones
- IAM access and security basics
- Running Spark jobs in the cloud
- Monitoring and cost control
Module 7: Airflow and Kafka
- DAGs, scheduling, retries and backfills
- Kafka topics, producers and consumers
- Streaming events into Spark
Module 8: Git, GitHub and Capstone
- Branches, pull requests and reviews
- Three end-to-end projects
- Mock interviews on your own projects
Tools and Technologies You Will Use
PythonProgramming- SQLSQLQuerying
PySparkBig data processing
AWSCloud platform
Amazon S3Data lake storage
SnowflakeData warehouse
Apache AirflowOrchestration
Apache KafkaStreaming
pandasData wrangling
LinuxCommand line
GitVersion control
GitHubCollaboration
Data Engineering Projects You Will Build
Each project lives in your GitHub repository with a README you can share with recruiters.
Project 01
Retail Sales Batch Pipeline
- Extract sales data from an API and CSV files with Python
- Clean it and build a star schema in PySpark
- Load it into Snowflake every day on an Airflow schedule
- Run data quality checks before each load
- Python
- PySpark
- Snowflake
- Airflow
Project 02
AWS Data Lake for Analytics
- Set up raw, cleaned and curated zones in Amazon S3
- Store Parquet files partitioned by date
- Move data between zones with PySpark jobs
- Publish reporting tables to the warehouse
- AWS S3
- PySpark
- Parquet
- SQL
Project 03
Real-Time Order Event Stream
- Publish order events to Kafka topics
- Aggregate them with Spark Structured Streaming
- Keep a live results table for a dashboard
- Handle late and duplicate events
- Kafka
- Spark
- Python
Skills You Will Have After the Course
- Write optimised SQL for analysis and validation
- Model data with star schemas and SCDs
- Build ETL and ELT pipelines in Python and PySpark
- Process large datasets with Apache Spark
- Load and tune warehouse tables in Snowflake
- Organise a data lake on Amazon S3
- Schedule and monitor pipelines with Airflow
- Stream events with Apache Kafka
- Handle incremental loads and change data capture
- Add data quality checks and logging
- Version and review code with Git and GitHub
- Explain your pipeline design in an interview
Data Engineering Jobs You Can Apply For
Five roles this course prepares you for, and what each one involves day to day.
- 01
Data Engineer
Builds and runs the pipelines that feed analytics and machine learning.
- SQL
- PySpark
- Airflow
- 02
ETL Developer
Moves and transforms data between source systems and the warehouse.
- SQL
- ETL design
- Data quality
- 03
Cloud Data Engineer
Runs storage and pipelines on cloud platforms such as AWS.
- AWS
- S3
- Spark
- 04
PySpark Developer
Writes Spark jobs that process large datasets efficiently.
- PySpark
- Performance tuning
- 05
Data Warehouse Developer
Models, loads and tunes warehouse tables for reporting.
- Snowflake
- Data modelling
Data Engineer Jobs in Pune
Pune is one of India’s largest IT hiring cities, with data engineering openings across the city. Placement support also covers roles in other cities and remote teams.
Where Pune hires
- Hinjewadi IT Park IT services and consulting campuses across Phases 1 to 3
- Kharadi EON IT Park and global capability centres
- Magarpatta and Hadapsar IT services offices and captive centres
- Baner, Balewadi and Aundh Product companies and startups
- Viman Nagar and Yerawada Commercial IT parks near the airport
Who hires data engineers
- IT services and consulting firms delivering data projects for global clients
- Global capability centres of banks, insurers and retailers
- Product and SaaS companies building data platforms
- Analytics and data consultancies
How freshers get hired
- Hiring drives and weekend walk-ins
- Employee referrals
- Openings on Naukri and LinkedIn
- Technical rounds on SQL, PySpark and a project walkthrough
Backbenchers learners have been placed with employers including TCS, Infosys, Wipro, Cognizant, Tech Mahindra and Capgemini, all of which run large offices in Pune. Read their reviews.
Who Can Join This Data Engineering Course?
The program is open to any graduate. The free screening call confirms that the course suits your background before you enroll.
Education
- Any graduate, including BE, B.Tech, BCA and B.Sc
Background
- Freshers
- Candidates with a career gap
- Non-IT professionals switching into tech
- Working professionals who want to upskill or switch
What you need
- Good communication skills
- No previous IT experience required
Course Fee and Placement Support
Support does not stop when training ends. It continues for up to a year, until you can manage your career on your own.
1
Apply free
Share your details and take a short screening call.
2
Train for 3 months
Modules, projects and mock interviews.
3
Search with support
Resume, job portals, applications and interviews.
4
Get placed
Accept an offer.
5
Pay the fee
One fixed fee, no hidden charges.
Placement support covers
- Resume creation and optimisation
- Job portal profile setup
- Help with job applications
- Technical mock interviews
- HR interview preparation
- AI-powered mock interviews
- Preparation for each company interview
- Guidance on real openings
- Career guidance and 1-to-1 mentorship
- Support through the whole job search
Fee terms
- ₹0 program fee before placement
- One fixed fee once you are placed
- No additional or hidden charges
- Exact terms shared in writing before you enroll
Backbenchers vs a Typical Data Engineering Course in Pune
A typical data engineering course
What many institutes offer
- Course focus
- Broad IT or data topics
- Duration
- Often 6 months of classes
- Projects
- Varies by institute
- Interview practice
- Group sessions, if any
- Support after training
- Usually ends with the course
Data Engineering at Backbenchers
What this course includes
- Course focus
- Built for the Data Engineer role
- Duration
- 3-month intensive program
- Projects
- Three real pipeline projects on Spark, AWS and Snowflake
- Interview practice
- One-to-one and AI mock interviews
- Support after training
- Placement support for up to 1 year
What Our Data Engineering Learners Say
The concepts are explained in a simple and practical way, which makes it easier to understand topics like SQL, Python, PySpark, AWS and ETL. The sessions and real-world project are especially helpful for understanding how Data Engineering works in an actual project environment.
The first thing I want to say is that the people here are genuine, and that is the biggest thing for me. I got a placement of 20+ LPA in an MNC as a Data Engineer.
Excerpts from Google reviews posted by Backbenchers learners.
Data Engineering Course in Pune: FAQs
Still unsure about something? Ask the team on a free call.
What does the data engineering course in Pune include?
Three months of online training in Python, SQL, PySpark, Apache Spark, AWS, Snowflake, Airflow and Kafka, three real-world projects, 1-to-1 and AI mock interviews, and placement support for up to 1 year.
What is the duration of the data engineering course in Pune?
3 months of intensive, practical training, followed by placement support for up to 1 year.
What are the data engineering course fees?
Nothing is paid upfront. One fixed program fee becomes payable only after you are placed, with no hidden charges. The exact terms are shared in writing before you enroll.
Who is eligible for this course?
Any graduate with good communication skills can apply, including BE, B.Tech, BCA and B.Sc graduates. Freshers, career-gap candidates, non-IT professionals and working professionals are all welcome.
Do I need coding experience?
No. Python and SQL are taught from the basics in Month 1, and the screening call checks you can keep pace.
Is the data engineering course online?
Yes. Training is online and self-paced, with mentor sessions and mock interviews held online.
Is PySpark covered in detail?
Yes. Module 4 covers DataFrames, Spark SQL, file formats, partitioning and performance tuning, and two of the three projects use PySpark.
Does the course cover AWS for data engineering?
Yes. Module 6 covers an S3 data lake, IAM access, running Spark jobs in the cloud, and monitoring and cost control.
Will I get a certificate?
Yes, a Backbenchers Academy course completion certificate. It is not a university degree.
What does placement support include?
Up to 1 year of help with your resume, job portals, applications, technical and HR mock interviews, AI mock interviews, real openings and one-to-one mentoring.
Which jobs can I apply for?
Data Engineer, ETL Developer, Cloud Data Engineer, PySpark Developer and Data Warehouse Developer roles.
How is data engineering different from data science?
Data scientists analyse data and build models. Data engineers build the pipelines that feed them, so the work involves more SQL, Spark and cloud, and less statistics.
Which companies hire data engineers in Pune?
IT services and consulting firms, global capability centres of banks, insurers and retailers, and product companies in Hinjewadi, Kharadi, Magarpatta, Baner and Viman Nagar. Our learners have joined TCS, Infosys, Wipro, Cognizant, Tech Mahindra and Capgemini, among others.
Does the course prepare me for data engineering interviews in Pune?
Yes. Mock interviews follow the rounds Pune employers use for data engineers: SQL and Python tests, a PySpark or pipeline design discussion, a project walkthrough and an HR round.
Does placement support cover data engineering jobs in Pune?
Yes. For up to 1 year you get guidance on openings with Pune employers as well as other cities, plus resume, application and interview support.
Is data engineering a good career in Pune?
Any company that runs on reports, dashboards or AI needs reliable pipelines, so data engineers are hired across Pune’s services firms, capability centres and product companies.
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Start the Data Engineering Course in Pune
Check your eligibility for the 3-month program. Applying is free, and the team will call you to explain the course, the schedule and the fee options.
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