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Real Interview Q&A for Data Engineer #1 | Surfalytics

Gain a unique perspective on the technical and problem-solving skills expected of data engineers in Q&A session with Tsebek. This interview delves into real-world scenarios and challenges, offering invaluable insights for both aspiring and experienced data engineers. Tsebek, in this interview, discusses DataBricks, cloud migration, data governance, and quality. He covers projects on migration, governance frameworks, masking, cost optimization, and architecture using DataBricks and Snowflake. Ideal for: Data engineers interested in cloud migration, governance, quality, and DataBricks/Snowflake. Don't miss out on this unique learning experience! Subscribe to Surfalytics channel for more insightful content on data engineering and related topics. Timecode: 00:00 - Start 00:20 - Tell me about yourself 00:57 - What was the purpose of using Databricks' notebooks? 03:05 - Did you use Unity Catalog in Databricks? 03:56 - Did you use Azure Data Factory? 05:35 - Do you know the difference between masking and encryption? 06:13 - What was the requirement for data masking? 06:51 - How would the data look like after masking? 07:13 - Where was that transformation (masking) implemented? 07:39 - Do you know the concept RBAC? 08:50 - What data quality checks did you implement? 10:06 - Tell me more about uniqueness tests that you’ve implemented 10:40 - SQL task. What type of window function ROW_NUMBER()? 11:50 - What kind of table is customer table, dimension or fact? 12:57 - Tell me about Slowly changing dimensions 13:50 - Have you ever come across the scenario when you made a data-driven decision? ================= What is Surfalytics? Inspired by West Coast surfing spots 🏖️ and Pacific Ocean vibes 🌊. Created to help you start a new career in the data analytics space, and develop data engineering and analytics skills through coaching. It will teach you not just dry skills, but will keep your focus on delivering significant value to businesses in the analytics realm as well as help to get fair compensation 💰 for the work you’re passionate about ❤️‍🔥. The goal of Surfalytics is to assist you in achieving one of the following: 🏄‍♂️ Land your first job in the data industry with literally zero experience. I have accomplished this many times across the globe. 🏄 Advance from a middle-level role to a senior position (as an Analyst or Engineer). 🏄‍♀️ Transition from a non-technical Analyst role to a technical Engineer role. Moreover, we will focus on creating a highly competitive CV and securing top job offers. We will not consider any lowball offers, focusing only on top-tier companies and well-paid opportunities. Finally, Surfalytics is a results-driven community with a very narrow focus, resulting in a high return on investment (ROI). Here, ‘investment’ does not mean money but your time. I am literally fighting for your attention to encourage you to study and work hard, instead of watching Netflix or playing video games. This is the best YouTube channel for Data Analytics and Engineering. You will patch up a lack of knowledge and get new experience and tips to build a Data Analyst roadmap or Data Engineer roadmap for yourself. Want to be part of our growing community? Join on Surfalytics.com #surfalytics #tsebekbadmayev #datacommunity #freecourses #dataengineering #tools #interviewtips