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Data Engineer Interview Questions
Data Engineer Interview Questions
I Data engineer sono professionisti informatici richiesti pressoché in tutti i settori. Si occupano di monitorare i trend dei dati per pianificare le azioni più adeguate che un'azienda deve intraprendere. Uno degli aspetti più critici del lavoro di un Data engineer è l'elaborazione dei dati grezzi e la loro trasformazione in dati utilizzabili per creare pipeline e sistemi di dati.
Domande tipiche dei colloqui per Data engineer e come rispondere
Domanda 1: Puoi descrivere in dettaglio il tuo livello di competenza nell'ambito dei linguaggi di programmazione?
Domanda 2: Spiega a parole tue che cos’è il data engineering.
Domanda 3: Puoi descrivere un'esperienza lavorativa con Apache Hadoop e in ambienti di gestione dei dati nel cloud?
20,235 data engineer interview questions shared by candidates
1. A Python script to check the total number of item ingredients and does it has a sweetener or not for a sample input which they provided
Python- 1. WAP to eliminate vowels in input string. 2. WAP to print "aaabbbbcccc". input - 'a3b4c4' SQL- 1. rank/dense_rank/row_num - state difference and explain with a real life example. 2. Input Table C1 | c2 1 | India 2 | Aus 3 | Pak 4 | SL OutPut India | Aus India | Pak India | SL Aus | Pak Aus | SL Pak | SL Big Data :- 1. Diff between Parquet/Avro/ORC/CSV 2. Hive partitioning vs bucketing 3. How data is stored in AWS S3 ? 4. Types of Spark modes (cluster/client) 5. Types of cluster managers (YARN/Mesos/ Kubernetes/Local/Standalone)
Behavior questions plus technical assessment
Was asked to build a data pipeline that starts by making a request to an api that contains time series data, parse the response and save to a file. The API provides energy trading data.
For the Data Engineering portion, I worked with a data set and Python Pandas to do various manipulations of that data.
The most involved part was in deciding how to rate top restaurants with a given data table of yelp reviews. This was not terribly difficult, but did take a small bit of thought and a fair bit of know how for manipulating the dataframe
Able to work off hours
None! Recruiter didn't show up to the 2 scheduled calls.
Just follow the briefings and you can ask questions when I am through, also let me know when you are done reading and understanding every line. Clear? Q1: What type of job(s) have you had? How did you get your previous job(s)? Q2: What were your main Responsibilities and Achievements in your previous jobs? Q3: Can you work under stress and pressure? Q4: Are you currently employed? Q5: How would you like to be Paid? Direct deposit or Check? Q6: How would you describe yourself? I was asked what bank I use as well....
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