Facebook data engineer interview reddit. Thank you in advance for any help! 11 votes, 10 comments.
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance It depends on the type of role / company you’re going for. - Created Data Visualizations and SQL News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Apr 29, 2024 · Here is a Facebook data engineer interview case study. The process is moving really fast and I have back to back interviews, behavior and then technical interview. Group leader - Principal SDE - You influence the entire group of 12-80 engineers. I have experience with PySpark for ETL with S3 and EMR and data wrangling but I don’t know if thats enough for a technical interview. There will be 3 interview (all technical they mentioned) all scheduled on the same day. News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance . There’s a whole network of data engineers who range from senior-level to Hey guys, I’ve recently received an interview opportunity in a project where they need a data engineer with PySpark. Straight to the business. So in that case besides of work with Hadoop, Spark and SQL you will need to know some cloud technology like AWS, Azure or GCP. Best advice I can give is to make sure you have examples for each of their requirements on the job spec, go into tooling used and examples of you doing the job, problem solving examples are best to share. I recently got promoted to junior from an internship maybe my experience can help you. This is related to some research I'm doing on data practitioners and their career journeys. So, I am brushing up on Data Warehousing, Python, and Spark concepts. Hi allI have data engineer interview coming up with Booking. Data engineering is a technical role, so while you’re less likely to be asked behavioral questions, these higher-level questions might show up early in your interview. It was an It support engineer II that interviewed me. My first interview went fairly poorly, I didn't realize to use a stack for an iteration over an array question, and kept trying to use a queue, but my codesignal was good so I passed the first round. It wont be a test For a normal technical interview I usually anticipate some sort of test/task to do but this is different and so would like to ask if anyone could have any idea on what I should prep for in terms of data engineering. Some others use an hybrid environment or a full cloud environment. You are a key person in your org. I had a technical interview for data engineer intern recently, I was mostly asked question about my projects and previous internships even if they weren't really related to data engineering at all. The interview will include three sections, explained I had 1 interview with an HR person, 1 with a business/management person, 1 with the director of data in my region, and the others were with more technical guys (most were DEs). They are looking for someone who has experience in building pipelines (pulling data from other websites), ETL and database architecture, modeling, management. Larger companies usually will hire data engineers to focus more on SQL, databases and ETLs while software engineers will deal with the more complex big data systems like hadoop directly. Then they started asking about time complexity of quick sort and such. Hey is there anyone here who has done the final stage of the Systems Engineering Internship interview for Facebook London? " The interview will focus on discussion of your interests and technical knowledge of (operating) systems, linux/unix and debugging. Hi, I have an upcoming senior data engineer interview with Atlassian. The class itself then builds on that, deepens the topic and gives you an opportunity to ask questions, discuss different approaches etc. Had the same problem investigating what to expect from the Design section. Has python + sql + data modeling + aws concepts + schema design + system design sections +behavioral questions (following the amazon leadership principles) in the book and sticks with you until you get the job through 1-1 mentorship (can be expensed if your current Currently working as a data analyst. I’m currently a Data Engineer at Spotify and everywhere i’ve worked, here and previously, has required some form of DSA at interview, as well as good knowledge of Map Reduce like paradigms. I would be expected to write some code for the same. Facebook’s Interview Process for Data Engineers. ) Also it depends on the architecture, a lot of data engineers are working with data lakes nowadays and the most used tool of that kind is hadoop and spark. I would argue if you are going for a large company, data engineering might be easier to get into. Basic Python programming questions and SQL questions that I would say were equivalent to the more advanced questions on SQLzoo. I have an interview with Google for a Data Center Electrical Engineer position. Thx for the response dude. I want advice if somebody has already gone through the hoops on how to prepare, I think they have 2 rounds which are technically coding and system design. By following my own experience and by talking about this with my interviewers, the most common situation is when they ask you some Networking questions, following with a Design problem, that will probably be close to your profile (they check your CV preliminarily) Following because I'd interviewed with Meta for a Data Scientist role because I wanted to gain experience doing more of the Analytics portion of my major. I have shared some of the strategies I followed and what worked for me in the below post. Creating them helped me get ML Engineer offers from several companies in 2022 (including Google, Tesla, Samsung, Motional, UiPath, and TikTok). Hi guys, I have an interview next week for an AWS data engineer. However, I am lost on the "SQL skills" part? I have an interview coming up for a Junior data engineer at IKEA. Anyone else have an interview and want to do some coding prep and mock interviews? It will be in SQL and Python. Jul 3, 2024 · Get ready for your data engineering interview with our list of key questions. Highly recommend!Giulio PalomboCEO of DataMaskedChris will Christopher Garzon Ace The Data Engineer Interview I recently had my phone screen for Facebook (Meta) SWE Intern Summer 2022. In technical, they asked to design the database for a system( movie ticket booking, parking lot etc ) and at the end they will ask to write an analytical query which you will have to write using your tables. Psyberg, An Incremental ETL Framework Using Iceberg I was wondering how senior data engineers prepare for interviews? I switched into a mid-level data engineering role from my new grad data science job. For motivation I wanted to ask: Is any of you (or has been)… Ok ok, so from you description it seems you have a standard N+N + swing arrangement. (I love FB interview process. Full disclosure: I work for a vendor (I know, ick). The initial technical screen determines whether you'll continue with the full interview cycle. Its been 3 years Im in data engineering field. From my experience in Data Engineering interviews, usually I’m just tested on SQL. Navigating the interview process at Facebook for a data engineering position is a multi-stage journey that tests a candidate’s I also have a Bloomberg phone interview question. But, truthfully, I have more Data engineering experience than analytics. As title says I have upcoming interview for Facebook/Meta for Android developer position. I'm conflicted between creating personal projects or learning DSA, but since I have no projects I'm gonna do that. Hi Folks, I recently got a call from Microsoft for a position of data engineer and they asked me to prepare for SQL and PySpark. A collection of videos shared by Netflix from their Data Engineering Summit. I’m a 20 year old Statistics Major at UC Davis (also a 3rd year). If you already got the ML part down, then focus on the things that will make you a strong backend & data engineer. I would consider doing the lighter Data Science courses + spending time training models, then learning frameworks to accelerate your work -- stuff like Spark, Pandas, AWS Glue (or whichever cloud aligned suite of tools). Enterprise Networking Design, Support, and Discussion. Or don’t accept the offer and focus on finding SE role. Tell me about yourself. Source: i do this at a FAANG company This subreddit is for all those interested in working for the United States federal government. Thanks in advance! News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Hi beautiful people. Rules: - Comments should remain civil and courteous. - Do not spam. Thank you in advance for any help! 11 votes, 10 comments. News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines. See full list on igotanoffer. Heya - I’m hiring for a new data engineer role at my company, and as it’s the first time we’ve/I’ve hired hired anyone for this role I wanted to ask for some insights from you all! Get the Reddit app Scan this QR code to download the app now Meta/FB Production Engineer Intern Interview 2 (systems) News & discussion on Data Engineering News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance I'm a data engineer coming up on 3 years of experience at fortune 100 right after university. The questions are going to vary based on both interview style, and the type of work the position is for. If anyone has previously attended interviews for the same role please let me know. the first interview will last for an hour, half hour technical (electrical, mechanical & maybe fire) the technical part will be mostly about the critical equipment in data centers (Electrical: Utility, generator, ATS, UPS, VSD), (Mechanical: Chillers, Crac, Fanwall), (fire: VESDA, Pre-action), the interviewer will touch base on each component and how it operates, the other half an hour will be May 15, 2021 · Question 3: Tell me about a time you failed or made a mistake Video Explanation with Evaluation Criteria, Response Framework, and Tips & Tricks. . Apr 3, 2024 · General data engineer interview questions. Their questions are standardized, especially during coding interviews. News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance We would like to show you a description here but the site won’t allow us. Your impact extends beyond yourself. No, "Tell me about a Below is from Facebook's glassdoor data engineer interview questions page. COM Become A Data Engineer How you can become a data engineer in as little as 60 days (even if you don't have a CS degree or current experience) Download eBook Very high quality, the best resource if you want to get a data engineering job. I did technical interviews with 5 companies. In order to make a good project using the relevant tech stack I gotta learn the stack so I'm doing that rn. 2. - No 3rd party URL shorteners We would like to show you a description here but the site won’t allow us. Streaming SQL on Data Mesh using Apache Flink. Scan this QR code to download the app now. Most FAANG and top tier companies will ask DSA questions, but you will probably not see any really complex algos in the interview. A recruiter reached out and after passing “that” initial phone call interview, they provide you access to an internal interview portal. Read now! We would like to show you a description here but the site won’t allow us. Hi! I have a data engineering interview with reddit, and I've only had 2-3 DE interviews. A position exclusively supporting a team of data scientists at a fortune 500 is going to be quite different from a startup making their first data hire, for example. You normally have video foundation material and MCQs as prep for the class. Reddit Data Engineer interview questions. Hi, I interview people for these kind of roles. If it is not a FAANG, they look for how you would approach a problem, like what goes into building a data pipeline, the kind of questions you would ask business stake holders like how often does the data get updated and such. We would like to show you a description here but the site won’t allow us. I need some help in preparing for technical phone interview. There were 4 rounds. That's actually all I did at my old job. No, this isn't a post about job interviews. The technical interview will be half case and half python/sql problems. com News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance We would like to show you a description here but the site won’t allow us. Jul 1, 2024 · 323 Meta Data Engineer interview questions and 277 interview reviews. Candidate: Jake. Hi everyone, I recently got recruited by a university recruiter for Amazon Data Center Engineering Operations Technician. The Amazon DE position and interview vary greatly. IMO there are 2 dimensions to a DE technical skill set: Software Engineering and Architecture. You can finally relax somewhat, as engineers can reach their final plateau here. Feb 29, 2024 · Prepare for your Facebook Data Engineer interview with DE Academy comprehensive guide. In my experience recently interviewing with a few F500 companies for junior/mid-level positions: usually an Sql assessment, but some don't even have any assessment and just make a hiring cl based on your experience and how you discuss your past projects. And if there are any member of our subreddit who works in Facebook/Meta I am open to any suggestions advices possible. 2 technical 2 values. I need resources for preparations. In the first interview this guy talked a lot about data validation and data quality. TLDR. Here Wissenhive has collected the top 50 data engineer interview questions to help you in preparing for the data engineer field role. While I am extremely happy to hear that I get a chance to dive into the data engineering field, I am also extremely nervous and unprepared for the interview. Need Help! I have an interview for a data engineering role that requires me to build a database and store incoming data for a new product by a company. I've been told that there will be a 30 minute coding challenge, where I will be asked to code an algorithm in Python. For the internship it was basically a SWE interview, data structures, algorithms, time complexity, Python under the hood (I mainly use Python for my role), and two python problems and that's it. I have an interview for a data engineer internship at FB in London. An "experience interview" with a DE manager (this is the behavioral interview) I have a data engineering job interview for a company in the UK tomorrow. The Netflix Data Engineering Stack. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. Or check it out in the app stores News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Data engineering is the intersection of security, data management, DataOps, data architecture, orchestration, and software engineering. You'll have Data Engineers mixed with SWEs, SREs and Managers. Current project i have good amount of exposure to the tech like spark, fink sql, kafka, aws. This is intentionally Aug 9, 2024 · FYI, I didn’t pass. There's a coding stage to the interview process and doing anything nontrivial in Bash instead of Python seems like it'd be pretty painful to me. Reverse indexing if possible because it’s clearly the most optimal solution, needing to move over the smallest portion of the list. Company A offered me the role of Data Engineer. Those jobs are in high demand and the hiring pool is extremely small. Most of the work is debugging/developing data pipelines and evolving the architecture. There will be other interview with Managers and Seniors but I'm not sure how to prepare for this. Interesting choice. More Python practice is probably a good thing. Enterprise Networking -- Routers, switches, wireless, and firewalls. Recently, two different companies have reached out and after going through the interview processes with both, they have offered positions. They love to quiz you on window functions and self joins (even though 99% of the things you do as a BI Engineer don't require it). I am attempting to practice the questions that the user has posted, but cannot for the life of me decipher what the hell the tables are Can someone please try to Hey guys. Their coding DEs are known as “Software engineer - Data” or simple software engineers. They contacted me via LinkedIn, I had my phone interview (4 SQL questions and 4 Python, answered 4/4 on SQL and 3/4 on Python) and now progressing to the onsite phase. You influence the rest of your team of 3-12 engineers. Cisco, Juniper, Arista, Fortinet, and more I interview data engineers for a mid size SaaS in Europe, our data team size is about 20 people. Your recruiter will let you know whether your initial technical screen will be conducted over video chat or in person. I have been working as a data engineer for the past 3 years. SQL. Recently, I just received a date for a technical interview for an entry-level data engineer position at a large retailer Fortune X company. This is a place to discuss and post about data analysis. Hey y’all! I have an interview for Facebook in January for a Data Engineer Position. This screen will be with a Meta engineer and is primarily a coding interview. Designed and developed Logging and Alerting Systems for all scheduled ETL jobs, also worked on a few Data Wrangling and Data Cleaning pipelines for a couple of Data Science projects DWH: SnowFlake, ETL Tool: Matillion, Language: Python Contributed towards Data Modeling for a couple of Data Science POC projects Here are a couple of strategies for giving a technical interview: I've used CoderPad for many similar interviews, it will give you a live Python and, separately, MySQL environments, with some simple dummy data set up that you can use to test the basics. NET, no algorithm/data structutres. 77 votes, 24 comments. They have a data engineer accelerator program (see link below) and I have an interview coming up with their head of data. I haven't previously completed a coding challenge. Job is completely virtual. Perfect for anyone preparing for a data engineer role. Interviewers want to know about you and why you’re interested in becoming a data engineer. Has anyone recently appeared in an interview for the same position or is preparing for the DE position? I need some guidance as to what can be expected during the onsite interview. A recruiter from Facebook reached out to me for a data engineering position, prior to this I have never put much effort into applying to FAANG companies mostly because of my location. " May 28, 2024 · Meta data scientist interview question examples - Technical analysis. Since the application process itself is often nothing short of herculean and time-consuming to boot, this place is meant to serve as a talking ground to answer questions, better improve applications, and increase one's chance of being 'Referred'. Any ideas on example interview questions I may… News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Had an interview today for an internship, I have never been a data engineer so far, self learnt programming, somehow the questions went on and on and on in the interview, lists vs Tuples, decorators, what strategy would you use to accidentally avoid deleting the data on ec2 if you terminate an instance, window functions, delete vs truncate vs drop. However, now I’m starting to get Python questions in my data engineering interviews and they’re always so different. Sharing the strategies I followed: The phone screen is 45 mins. 1. Damn are you me? I interviewed with a FAANG recently and in the tech interview did 4 SQL questions. What is the best places I can start preparing for interview. Basic background about me is that I did Data Science work through projects and Facebook’s Data Science apprenticeship called the Facebook Data Challenge 2020. Data Processing Patterns. I have 10 YOE with SQL and 3 YOE with Python. Aug 16, 2024 · 239 Amazon Data Engineer interview questions and 212 interview reviews. Altough corporate/govt datacenters put a lot of effort on redundancy, sometimes, it's just more cost effective to have a 2nd DC than having a triple redundant one! News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Yes, DEs at FAANG are more about sql. News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Hi, I have a Data Engineer interview scheduled with AWS in the coming weeks. Right now I have mine scheduled next week, but now I have three exams and three other interviews happening next week (I scheduled the phone interview way in advance and erring on the early side because I've heard Bloomberg fills up intern slots mid-November). I interviewed for a L4 Production Engineer (aka SRE). Apr 16, 2021 · Facebook’s data engineer interview process assesses candidates’ abilities to utilize big data to provide actionable business insights. I’d say position 9 (landing on the first 9) or I’d say -3 (landing on the last 9). Someone needs to write a "Ace the Data Engineering Interview" *hint hint* Tl;Dr - I received an interview request for an it support engineer position and wanted to get insight on the hiring process and position as a whole. They called it a "Problem Solving and Design Interview" but he just asked me questions about setting up a data pipeline with Spark. From your description (Each system has a backup of the backup) I was thinking you might have 3N and falling from the chair :D. My first project was for 2 years and I really didn’t had much exposure. Some of the types questions I've seen in the past for a FAANG interview (assume some generic "orders" table). facebook icon, opens Hi! I've finished my onsite interview. - All reddit-wide rules apply here. Jul 1, 2022 · Facebook data engineer interview: the only post you’ll need to read I stumbled across this discord group on reddit. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. The email says its for early career talent and to move into a managerial or supervisor position. For instance, Zillow uses a presto layer on top of their hdfs. - Created Data Visualizations and SQL query reports - Implemented Data Models and Machine Learning processes Job 3: - Built ETL pipelines for. Check out the data engineer interview 1-1 mentorship class from an ex-amazon DE. Our first call went well and she wanted to move me on to the first round of technical interviews, I have told her I would need to learn python first and she was Typical 3 interview structure: role related knowledge - do you know your way around cloud; Googleiness and leadership - do you put customer first, show empathy, work as a team; Cognitive Ability - handling ambiguous scenarios, thinking outside the box, communication. - Do not post personal information. I also had a system design question that wasn't too difficult. For specific questions sometimes people post on reddit or blind. The book seems like a good baseline for a relatively novice data/ML engineer to establish some of theory and concepts behind the different tools. Anybody has any recent interview experience with Atlassian? If yes, please share more details about the process and questions asked. I also worked at Facebook for 8 years and know the VP that started the program. How it gets started: applied in May, a friend did an internal referral. I have an onsite interview scheduled for a Data Engineering position at Facebook. I have good SQL skills however i am a little concerned on the coding part. For MLE I had an initial can with the recruiter, tech screen (2 Leetcode style questions) and a final round with ml system design, leadership/behavior, more coding questions (I had 2 2 round sessions) and Sounds like you've got scripting and shiny "devops" stuff down pretty well. Tell me about a time you failed or made a mistake is one of the most challenging and tricky questions asked by the interviewers. The pay is about equal between the two. If coding is super important for you, you can accept the offer and try to switch the teams when you are at the company. data ingestion concepts and technologies there are 2 very different concepts that a data engineer should be able to reason about aspects of a data warehouse: ETL, orchestration, monitoring, test/QA, security/permissions, disaster recovery, discovery data modeling principles principles of big data tools (Spark, Redshift, etc. Yeah I know someone who went through that program and then converted to full time production engineer. Position is Data Engineer- Streaming AWS professional services. My recruiter told me that there would be some questions related to the batch and streaming ETL. I did an interview with Accenture federal services in the US so your experience may be different interviewing with the commercial side of Accenture - Created Data Visualizations and SQL query reports - Implemented Data Models and Machine Learning processes Job 2: - Built ETL pipelines for. I also have an Amazon Interview in January for a Business Intelligence Engineer position. This is the most leetcode thing in the loop, as this laptop test is the same between traditional SWEs and data engineers. Company B offered me the role of Senior Data Analyst. It was mentioned that a few rounds would be on standard coding questions like data structures and algorithms that I can prepare from leetcode. I just went through an interview process for senior data engineer positions in January of this year. Data Engineering is quite new so I'm not sure if a good guide exists (others please post as I'd like to read them as well). What do you want to know? :D So production engineering is technically a separate role from SWE at Facebook, which is the most common role you think about at FB. I had a very good experience. Production ML Engineer is 90% data/backend engineering and 10% actual ML work. true. You have to know how to deploy and serve models, how to move training data, how to schedule training, how to make these systems talk to each other etc. News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Star Schema: The Complete Reference for data modelling Data Pipelines Pocket Reference for some cool tips - same with Data Engineering with Python but it loses some points due to a bizarre focus on Apache NiFi in the second half The Informed Company is a nice read on where things are going Data science in companies are usually divided into 2 categories, research and engineering, so research teams would be working on getting the right models or increasing the accuracy of the models etc and engineering team is responsible for putting these models into production and monitoring, data collection etc , so for engineering types of Surprised how much deeper it goes than traditional "Data Structures & Algorithms interview questions with some SQL interview questions mixed in". I made 200+ flashcards to review everything from my years of ML research, classes, and independent study. I am a grad student, so I had very limited time to prepare for the interview and balance my school/research activities. As for the interview, it was more relaxed than I was expecting. Don't know what a research engineer interview looks like, but the mle (swe ml) interview and research scientist interview are very different. So, SQL and Python would be applicable. My background is quantitative finance (in the process of finishing my masters) and they know this, but I have decent python skills. In this section, we will cover different types of technical questions and answers, focusing on beginner, Python, SQL, project-based, and management questions. Free interview details posted anonymously by Amazon interview candidates. An acquaintance had a screening interview for software engineer I and told me their interviewer jumped straight into technical trivia, such as list and explain the four principles of OOP. 37 votes, 14 comments. Building Reliable Data Pipelines. My current job had one easy python question and one moderately difficult SQL question in the coding round. Insights and detailed practice exercises await. I haven't seen anything beyond LC Med. Dec 19, 2023 · Free interview details posted anonymously by Reddit interview candidates. UPDATE: I had my first round interview. Some here would argue that it is not intense enough as software engineering is a part of data engineering. Have anyone recently had interview with Microsoft and can share what kind of questions in the interviews? So far I have got a Codility test with pure C#/. Job level: E5 Year of Experience: 5 - 10 We would like to show you a description here but the site won’t allow us. News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Related Data engineering Engineering Computer science Sciences Applied science Information & communications technology Formal science Science Technology forward back r/CompTIA From the "looking to get certified," to conversations/questions from current students, to certified and working professionals - this subreddit is dedicated to CompTIA I have a Facebook Enterprise Systems Engineer interview coming up and the recruiter was kinda vague in terms of what to prepare for the interview. NEW WEBSITE, CLICK -> DATAENGINEERACADEMY. You can go the Cloud route, get data engineering certifications, and work in their Professional Services as a data architect / engineer / consultant. It was an interview through Amazon Chime and went rather well. I have an onsite interview with Facebook in 3 days for a DE position in the Product Analytics team. - No facebook or social media links. No leetcode questions at all. I mostly solved them, but struggled on the last one (in part because I really misunderstood what the interviewer was asking for) and my feedback was "You pretty much got a 99%. Provided a table with user_id and the dates they visited the platform, find the top 100 users with the longest continuous streak of visiting the platform as of yesterday. Updated Dec 19, 2023 facebook icon, opens Technical Data Engineer Interview Questions. Really, interviews are easy as long as both sides are talking freely about something in-context. You don't need to implement the most optimal solution if your work is correct and clean/well-designed (of course this is somewhat subjective). Which algorithms are DEs commonly expected to solve in interviews? Against all of my expectations, I've landed an onsite interview with Facebook. specific questions to better understand what I know about data engineering. I am looking into get into FAANG, and they do leetcode style. I have coding experience in SQL, R, Python, MATLAB, C++, and Julia. First interview with the engineers (how much do I know coding and SQL et cetera), Second interview with other engineers (how much do I want to start my career as a software engineer), Third interview with the C-level user (how well fit I am with the company). Every technical interview for Data Engineering I've done has been SQL oriented. Big Data: I have my major experience in Big Data (On-Premise only, never on AWS) - What is the relevance of Big Data Tech (Hive/Spark majorly), in Amz DE interview? Does it fetch any positive points over others? Coding: I'm using the Grokking Coding Interview from educative, which has algorithmic patterns for ~150LC questions. Because the syntax needed to answer most SQL questions isn’t too vast I don’t have many problems with SQL. This season I got an offer from Facebook, but honestly had a very similar experience. Covering data modeling, ETL processes, database management, and big data technologies, this guide helps you confidently show your skills and knowledge. A data engineer manages the data engineering lifecycle, beginning with getting data from source systems and ending with serving data for use cases, such as analysis or machine learning. The job requires technical and customer skills tho. com. The interview process went smoothly and probably the best I’ve experienced. Most people aren't lucky enough to have built a system in isolation to show off though, and building sample apps just to secure an interview is kind of annoying. Sorry to hear about you bombing - ive been there. The discussions will start off at a fairly high level and progressively get more in-depth. Data engineering is highly technical, so it’s no surprise that most of your interview process will involve technical questions and exercises. Knowledge Management — Leveraging Institutional Data. I have about 2 years of experience (currently Jr android dev). For the 1st round, the scope mentioned in the interview mail is "data modeling, scripting and SQL skills". pimaeaj xcagg spvf stzn vwxdn okiz dmldmq uxnr mhkfmf nuiqu