Learn how to crack your Data Engineering interview
Master the fundamentals of SQL, Python, Data modeling, Data Pipeline, System Design & more to secure your job at MAANG & Unicorn companies
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Data Engineer - III @ Expedia Ex-Amazon, McKinsey, PayTm YouTuber @ E-Learning Bridge
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Who is this Program for?
Who is this Workshop for?
How does the Program Work?
How does it Work?
What will you learn?
- Arrays
- Strings
- Linked List
- Stack
- Queue
- Tree (Basics)
- Dynamic Programming
- Searching
- Sorting
- Fundamental Topics
- Group By
- Joins
- Case-When with Group By, Sub Queries
- Common Table Expressions
- Window Functions
- Hadoop
- Spark
- Hive
- Data File Formats
- Important interview questions
- Right choice of Databases with the help of CAP theorem
- Data Warehousing Topics and Often-asked design questions
- Data normalization / de-normalization
- What is a data warehouse, data lake, and data mart
- Difference between OLAP vs OLTP
- Fact tables, dimension tables
- Star schema vs snow-flake schema
- Slowly changing dimension tables
- Data warehouse design questions
- Need of dependency management while writing data pipelines
- Data back-filling
- How to use Apache airflow for scheduling data pipelines
Basics of Cloud Agnostic Data Pipelines on AWS
- Important cloud services along with technical designs
- ETL example using AWS services
- When to use batch vs real
- Different frameworks using batch and real data streaming
- Tech frameworks - Spark, Kafka, and Flink
- Challenges with Batch and real-time streaming pipelines.
- Practical uses cases of Data pipelines
- Technical round for Maang interviews in Data Engineering roles
- Culture and other rounds for cracking Maang interviews in Data Engineering roles
What you won’t achieve after this course?
Time is running out.
Grab your spot fast!
02
Testimonials
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Get Certified
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Meet your Mentor
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Hey guys, I’m Shashank, a Data Engineer with 6+ years of experience in product-based companies. I solve data mysteries for different domains ranging from Aviation, FinTech, to Employee Services.
After completing my MCA from NIT Allahabad, I started out as a software engineer and worked with brands like Paytm and Mckinsey & Company before landing into my dream company- Amazon. I currently work as a Data Engineer - III at Expedia Group.
I love contributing and giving back to the community and have been doing so since 2020 through my LinkedIn profile and Youtube channel (@ E-Learning Bridge) where I create content on Data Engineering.
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2017: Completed MCA from NIT, Allahabad. Started my career in a service-based firm wih 5 LPA.
2019: Started Engineering journey with PayTM where I was dealing with millions of transactions.
2022: Started my Youtube journey and crossed 50k subscribers and hit 100k followers on LinkedIn.
Program details
Fee details
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Learn how to crack your Data Engineering interview in 1 week
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% on
Learn how to crack your Data Engineering interview in 1 week
- Learn the toolkit of the professionals in just7days.
- Use codeto get% off.
- Enjoy the discounted price of ₹Enjoy the discounted price of $699700and save a total of ₹and save a total of $1299
- The launch offer expires tonight, May 27, 2022.
Crash course Launch Offer (Save $
Launch Offer: Save ₹
Program Offer: Save ₹
401
500
on
Learn how to crack your Data Engineering interview in 1 week
Crash course Launch Offer (Save $
Launch Offer: Save ₹
Crash Course Offer:
on
Learn how to crack your Data Engineering interview in 1 week
Crash course Launch Offer (Save $
Crash course Launch Offer: Save
% on
Learn how to crack your Data Engineering interview in 1 week
- Learn the toolkit of the professionals in just7days.
- Use codeto get% off.
- Enjoy the discounted price of ₹Enjoy the discounted price of $699700and save a total of ₹and save a total of $1299
- The launch offer expires tonight, May 27, 2022.
- Enroll now and unlock bonuses worth ₹5,000 absolutely free. There has never been a better opportunity to seize this course.
- Use codeto get% off.
- Take advantage of the discounted price ofEnjoy the discounted price of $699700and save a total of ₹and save a total of $301500
- The launch offer expires tonight, May 27, 2022.