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big data engineer


Kickstart your career in Big Data Engineering with our in-depth, hands-on course. Master core technologies such as Hadoop, Spark, and Kafka, along with big data analytics tools like Hive and Pig. Dive into practical skill sets, including data ingestion, processing, storage, and real-time analytics. Learn how to manage and analyze large data sets efficiently and gain expertise in Big Data ecosystem tools. Transform raw data into meaningful insights, all while using best practices in version control with Git. Enroll now to become a skilled Big Data Engineer capable of turning massive data streams into actionable intelligence.

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20-Week Bootcamp  |  65 Lectures

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Big Data Training Overview



💻 Online, Instructor Led

📅 12-Week Bootcamp

​🚸 Interview Prep

🏢 Placement Assistance

​📆 Saturday & Sunday

🕒 10:00 AM - 02:00 PM EST

​👨‍🏫 Trainer: Pankaj Sharma

🔠 Language: English




MAY 2024


💻 Online, Instructor Led

📅 12-Week Bootcamp

​🚸 Interview Prep

🏢 Placement Assistance

​📆 Monday & Tuesday

🕒 07:00 PM - 10:00 PM EST

​👨‍🏫 Trainer: Rushi Pandya

​🔠 Language: English



MAY 2024

Embark on an exciting journey into the world of Big Data with our 12-week Big Data Engineering Training and Placement Program in Canada. This comprehensive course will provide you with a solid foundation in the tools and techniques required for a successful career in Big Data Engineering, leveraging insights from our expert instructors with years of experience in the field.

Delve deep into the heart of Big Data through four real-world case studies, where you'll work hands-on with technologies like Hadoop, Spark, and Apache Airflow. Learn how to handle massive data sets using both batch and real-time data processing methods and gain an in-depth understanding of the complete data pipeline – from data collection to data storage and data analysis.

Key Highlights:

Lectures led by an AWS®️ certified Data Engineer

You earn 56 IIBA PDUs, enough to take up CBAP Certificate!

Practical Data Enginee Training with over 30 lectures

Resume Building and LinkedIn makeover included

Learn 20 in-demand Business Analyst Tools and Techniques

Unlimited mock BA Interview Practice sessions included

Hands-On Practice with BA Artifacts such as User Stories

BA Job Profile marketing, and Placement Assistance










  • Our program is a 3-4 month, 100% hands-on training course designed specifically for aspiring Data Engineers. Gain real-world experience by working on actual industry projects, not just theoretical exercises. This program will benefit you if you want to:


    1. Start your career as a Big Data Engineer

    2. Transition your career into that of a Big Data

    3. You are a fresh graduate looking to bridge the gap between theory and practical approaches to Data Warehousing

    4. Get trained in the end-to-end lifecycle of Data Warehousing Activities

    5. Are an active professional in other domains looking to transition to a BDE role

  • Absolutely! Whether you're looking to kickstart your career in Data Engineering or transitioning from another field, our program is tailored to set you on the path to success.

  • YES! You get resume-building services, interview preparations, profile marketing services, and placement assistance with the program should you need it. 

  • This is a live training that will be conducted online via Zoom. An AWS®️ Certified and a seasoned Data Engineer with 10 years of industry experience will lead this program.

    • Fees: The fees for this program are payable in two installments.

    • Refunds: Full refund if enrollment is withdrawn within 15 days of course commencement. No refunds after that time frame for any installments paid.

    • Pricing: All our prices are in Canadian Dollars (CAD). If you are an international client, your bank/payments processor will take care of the currency conversion. You will be charged in your local currency equivalent to the current date's conversion rate.

    • Payments: We currently accept payments through all Credit Cards, Debit Cards and Paypal. Canadian clients can Interac us too.

Frequently Asked Questions

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