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Real Interview Q&A for Senior Data Engineer #2 | Surfalytics

In this video, I share a record from a recent senior data engineer interview. I discussed my approach to handling large-scale data processing, optimizing query performance, and ensuring data quality in complex data pipelines. I also delve into specific challenges I've faced, such as scaling issues and working with open-source technologies. Additionally, I provide a detailed explanation of how I would use SQL to identify anomalies in location data collection frequency between app versions, showcasing my problem-solving skills and SQL expertise. Key Points: Data Engineering Experience: I highlight my experience building data infrastructure and platforms, particularly with Snowflake and Databricks, on Azure, AWS, and GCP. Telemetry Data Challenges: I discuss the complexities of handling streaming telemetry data, including data completeness, timestamp consistency, and scaling issues. Performance Optimization: I share strategies for optimizing query performance in analytics environments like Amazon Athena, including partitioning, bucketing, and pre-aggregation techniques. Cost Optimization: I provide examples of how I've reduced costs in data pipelines by optimizing compute and storage resources and implementing data deletion strategies. Monitoring and Observability: I explain my approach to setting up monitoring and observability for ETL/ELT pipelines to identify and address issues proactively. SQL Expertise: I demonstrate my SQL skills by outlining a solution to identify anomalies in location data collection frequency between app versions. If you're interested in learning more about my data engineering experience and problem-solving approach, please watch the full video and feel free to ask any questions in the comments section below. Thank you for watching our video "Real Interview Q&A for Senior Data Engineer #2 | Surfalytics" on SurfalyticsTV as part of a series of "Real Interviews records", click the link to watching the previous videos:    • Real Interview Q&A for Senior Data En...   Subscribe for channel for more videos:    / @surfalyticstv   #DataEngineering #Interview #BigData #SQL #ProblemSolving ================= 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 https://surfalytics.com/ #surfalytics #dmitryanoshin #datacommunity #freecourses #dataanalysis #dataengineering #roadmap #careerpath #mindmaps #tools #overview #dataanalysttips