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dataguy12

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seattledataguy.substack.com 3y ago

A Decade in Data Engineering – What Has Changed?

dataguy12
1pts0
seattledataguy.substack.com 3y ago

Should You Use Apache Airflow?

dataguy12
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blog.portable.io 4y ago

Steps to Building a Great Data Team

dataguy12
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seattledataguy.substack.com 5y ago

Are Companies Hiring Fewer Data Scientists and Are Data Engineers Taking Over

dataguy12
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betterprogramming.pub 5y ago

Becoming a Data Engineer

dataguy12
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betterprogramming.pub 5y ago

Going from Analyst to Data Engineer

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betterprogramming.pub 5y ago

The Data Engineering Study Guide

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betterprogramming.pub 5y ago

Online Courses I Used to Become a Data Engineer

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betterprogramming.pub 5y ago

The Do's and Don'ts of Technical Interviews

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betterprogramming.pub 5y ago

Real Challenges That Data Engineers Face on a Daily Basis

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seattledataguy.substack.com 5y ago

Trends I Saw Consulting in 2020 and How I Helped Save My Clients Money

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www.theseattledataguy.com 5y ago

The Future of Data Science, Engineering and Tech: 6 Experts Views on Tech 2021

dataguy12
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www.theseattledataguy.com 5y ago

AWS Technologies That’ll Make Your Life Easier

dataguy12
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www.youtube.com 5y ago

Introduction to Time Series in R

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www.theseattledataguy.com 5y ago

Examples of Actual Companies Using DynamoDB

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www.theseattledataguy.com 5y ago

Trends in Big Data and SQL to Be Excited About in 2020-2021

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www.theseattledataguy.com 5y ago

Statistics Review for Data Scientists and Management

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www.theseattledataguy.com 5y ago

Developing a Data Analytics Strategy for Small Businesses and Startups

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seattledataguy.substack.com 5y ago

What Is MLOps and Why You Should Implement It into Your ML Pipelines

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www.youtube.com 5y ago

What Problems Does MLOps Solve? – With Whylabs.ai

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medium.com 5y ago

Great MLOps Tools to Launch Your Next Machine Learning Model

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www.theseattledataguy.com 5y ago

What Is Fivetran and Why You Should Use It

dataguy12
3pts0
logitanalytics.com 5y ago

What Are ETLs and Why We Use Them – From Software to Development

dataguy12
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medium.com 5y ago

Docker, Kubernetes, and Helm; What Are They? and Why Use Them?

dataguy12
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logitanalytics.com 5y ago

What Are the Benefits of Cloud Data Warehousing and Why You Should Migrate

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www.youtube.com 5y ago

Mistakes That Are Hurting Your Data Driven Strategy

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www.youtube.com 5y ago

Preparing for a Data Engineering Interview: How to Design a Data Warehouse

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www.coriers.com 5y ago

Top Data Analysis Courses for Consultants and Data Analysts

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www.theseattledataguy.com 5y ago

Great MLOps Tools to Launch Your Next Machine Learning Model

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medium.com 5y ago

Tools for Natural Language Processing – From AWS to Python

dataguy12
1pts0

This is a great question! This again, depends on the company and even team you are interviewing. Some data scientists are asked to answer questions about linked lists because the team might need you to not only research models but also implement them.

Some data scientists take on more of a data engineering role, others data analysts and research scientist. It really depends what the company wants. The beginning of the post discusses various companies and what they might expect based on both personal experience and glass door.

It bothers me that so many of these guides are aimed at passing the job interview instead of teaching the topic at hand.

Trust me, not many of us fantasize about crushing an interview. The purpose of the guide was to help people use their time efficiently to study for an interview so they could get on to the important stuff.

I think most tech people hate the interview process in general.

I think this interview process does a few things that companies like.

1. Creates a deterrent from leaving. Once you finally get that job...you don't want to have to go through that process again any time soon 2. It create exclusivity..like colleges...by creating a difficult process and reducing acceptance rates, when you do make it, it feels like you really earned it. 3. It's an easy way to fit people through a square hole like the GRE, SAT or ACT

Do we like it...no

Awesome! Then we will work on that. Yes, Hadoop is kind of weird. Like most companies use it through the abstraction of hive or presto. So..it's just SQL again.

Hope it helps!

Also we are working on a software engineering, data science and hadoop focused one!

Let us know if there are specific topics you would like to see!