WebApr 8, 2024 · Interview Questions. Case Study : go over a Capital One feature and answer questions about how it works and why it works that way. Try to understand it from both a customer and engineer perspective. Second half of the interview round is then going over some data and basic functions and how you would improve the code. WebFeb 12, 2024 · Developing pipelines for various ETL operations and data transformation. Simplifying data cleansing and improving the de-duplication and building of data. Identifying ways to improve data reliability, flexibility, accuracy, and quality. This is one of the most commonly asked data engineer interview questions. 13.
Data Engineer Interview Questions and Answers - Data Engineer …
WebYou’ll likely be quizzed on the Kimball methodology, i.e., data warehousing, SQL, semantic layer tooling, e.g., Power BI, cubes, Tableau etc. Only thing I would add is to bone up on query optimisation. Every technical interview for Data Engineering I've done has been SQL oriented. They love to quiz you on window functions and self joins (even ... WebDec 16, 2024 · High precision means that a program returns more relevant results than irrelevant ones. Recall. Recall measures the number of correct results a program identifies from the total number of correct results. For example, if there are 20 ‘Company’ entities in a text and the algorithm finds 10, its recall is 10/20, or ½. sharing in a ratio lesson tes
Data Engineer Interview Practice : r/dataengineering - reddit
WebNov 27, 2024 · Interview Questions. Simple SQL queries on two tables on sales revenue and advertisers 1) Find the daily performance of advertiser with the highest weekly … WebAfter about 6 months of trying, I've landed a Product Analyst final interview within the company I work for. I'm very excited as it would be working with a product I'm very familiar with working as an Engineer previously. The stated format of the interview is a business case interview where we will look at some data on the company and the product. WebThat's where i was puzzled. Like is DSA really focused upon in Data Engineering interviews. I had an interview with amazon and surprisingly I wasn't asked any DSA questions.But other companies in the FAANG do ask dsa is what i heard and thus this question thread.😅. I feel like its 40% sql and python, 20% spark and bigdata stuff , 20% … sharing in a ratio calculator