Now you can subscribe to our Instagram channel for the exclusive content
www.instagram.com/dataspoof
www.instagram.com/dataspoof
https://www.instagram.com/p/C5zlrxPy0Dw/?igsh=cXc1cjNrbTA2MjJy
Tiger analytics data engineering interview questions
Tiger analytics data engineering interview questions
Here's what the average data engineering interview looks like in 2024:
- 1 hour algorithms in Python
Here you will be asked irrelevant questions about dynamic programming, linked lists, and inverting trees
- 1 hour SQL
Here you will be asked niche questions about recursive CTEs that you've used once in your ten year career
- 1 hour data architecture
Here you will be asked about CAP theorem, lambda vs kappa, and a bunch of other things that ChatGPT probably could answer in a heartbeat
- 1 hour behavioral
Here you will be asked about how to play nicely with your coworkers. This is the most relevant interview in my opinion
- 1 hour project deep dive
Here you will be asked to make up a story about something you did or did not do in the past that was a technical marvel
- 4 hour take home assignment
Here you will be asked to build their entire data engineering stack from scratch over a weekend because why hire data engineers when you can submit them to tests?
- 1 hour algorithms in Python
Here you will be asked irrelevant questions about dynamic programming, linked lists, and inverting trees
- 1 hour SQL
Here you will be asked niche questions about recursive CTEs that you've used once in your ten year career
- 1 hour data architecture
Here you will be asked about CAP theorem, lambda vs kappa, and a bunch of other things that ChatGPT probably could answer in a heartbeat
- 1 hour behavioral
Here you will be asked about how to play nicely with your coworkers. This is the most relevant interview in my opinion
- 1 hour project deep dive
Here you will be asked to make up a story about something you did or did not do in the past that was a technical marvel
- 4 hour take home assignment
Here you will be asked to build their entire data engineering stack from scratch over a weekend because why hire data engineers when you can submit them to tests?
𝗣𝗪𝗖 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝗗𝗮𝘁𝗮 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫) ⭐→
The whole interview process had 3 rounds of 1 hour each.
🔸 The first round was an extensive discussion about the projects I was handling and a few coding questions on SQL & Python.
There were questions like the following:
→ Optimisation techniques used in projects; Issues faced in the project; Hadoop questions.
🔸 After clearing this round, I moved on to the next round, which was a Case-Study based round.
I was asked scenario-based questions & the interviewer asked multiple questions on Spark, like:
→ Spark job process; Optimizations of spark; Sqoop interview questions.
After this, I was asked a few Coding questions & SQL coding questions, which I successfully answered.
🔸 Lastly, there was a Managerial Round where I was asked a lot of technical and advanced questions like:
→ Architecture of spark, hive, Hadoop; Overview of MapReduce job process; Joins to use in spark; Broadcast join & lastly Different joins available.
The whole interview process had 3 rounds of 1 hour each.
🔸 The first round was an extensive discussion about the projects I was handling and a few coding questions on SQL & Python.
There were questions like the following:
→ Optimisation techniques used in projects; Issues faced in the project; Hadoop questions.
🔸 After clearing this round, I moved on to the next round, which was a Case-Study based round.
I was asked scenario-based questions & the interviewer asked multiple questions on Spark, like:
→ Spark job process; Optimizations of spark; Sqoop interview questions.
After this, I was asked a few Coding questions & SQL coding questions, which I successfully answered.
🔸 Lastly, there was a Managerial Round where I was asked a lot of technical and advanced questions like:
→ Architecture of spark, hive, Hadoop; Overview of MapReduce job process; Joins to use in spark; Broadcast join & lastly Different joins available.
Reflecting on a memorable interview experience with Kotak Mahindra Bank for the SDE-2 (Data Engineering) role! 🌟 It comprised four stimulating rounds, featuring two bar raiser and two internal rounds.
Round 1: Delved deep into DS & Algo, SQL data modeling, and Data Warehousing, setting the stage for a robust discussion.
Round 2: Focused on Pipeline designing and Spark, challenging me to showcase my skills in designing efficient data pipelines.
Round 3: Dived into SQL and Spark optimization, where I had the opportunity to demonstrate my expertise in enhancing performance.
Round 4: A dynamic mix of everything, including streaming and writing ETL for various scenarios, truly putting my skills to the test.
Round 1: Delved deep into DS & Algo, SQL data modeling, and Data Warehousing, setting the stage for a robust discussion.
Round 2: Focused on Pipeline designing and Spark, challenging me to showcase my skills in designing efficient data pipelines.
Round 3: Dived into SQL and Spark optimization, where I had the opportunity to demonstrate my expertise in enhancing performance.
Round 4: A dynamic mix of everything, including streaming and writing ETL for various scenarios, truly putting my skills to the test.
The basics of reinforcement learning in simple words
https://www.dataspoof.info/post/basics-of-reinforcement-learning/
https://www.dataspoof.info/post/basics-of-reinforcement-learning/
www.dataspoof.info
Basics of Reinforcement learning - DataSpoof
In this tutorial, we will discuss the basic concepts of reinforcement learning and understand why it is so popular. Reinforcement learning offers powerful techniques so that training agents can make decisions in new environments. Reinforcement learning stands…
Complete Data Science end to end training
Duration- 8 months
For curriculum and fees structure
https://www.dataspoof.info/training/
Duration- 8 months
For curriculum and fees structure
https://www.dataspoof.info/training/
www.dataspoof.info
Training - DataSpoof
Tailored Solutions Complete End to End Data Science Training Program This 5-month online Data Science certificate course offers a comprehensive understanding of data science, covering a wide range of crucial topics. It includes real-world projects and live…