Data engineers are IT professionals who are needed in almost every industry. Data engineers monitor data trends to determine best next steps for companies. A critical part of a data engineer job is to process raw data into usable data by creating data pipelines and building data systems.
There were 6 Pre-Qualify Questions; the 6th one was over my head and I didn't even write it down. 1. What is Spanning Tree? 2. What is IEE 802.1Q and what is it used for? 3. What is multicast? 4. From a SAN perspective, why is zoning typically implemented? 5. In a Linux Server environment, where is the log file directory located?
Explain more about any one of the projects that you had done.
Very basics questions about Scala and Spark like what are case classes, pattern matching, trait? What is RDD, State, SparkContext
Questions were from: SQL, AWS and Python. These things were mention in my Resume
Find maximum occurance and that particular number in array
How would you explain a database to a child?
1. introduce yourself strength weakness hobbies. 2. WHY should we hire you?
Technical data engineering stuff . Data warehouses Pyspark SQL Distributed processing
Explain data center power and cooling infrastructure What is data center? Explain data center tier? How will you trouble shoot for flapping? Fiber cleaning How will you replace mother board? What are the steps you will take to troubleshoot server that is not reachable?
How do you handle multithreading in Java?
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