Technical questions about the stack in job description (aws data tooling and pipeline, devops practices). Task about python refactoring and deploying an ML model in prod.
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The interview had two rounds. The technical round started with an introduction and a detailed discussion on the candidate's internship, challenges faced, and solutions. Candidates rated themselves in SQL and Python, followed by advanced SQL questions on lead, lag, coalesce, window functions like rank/dense_rank, guesstimates (e.g., estimating cabs in a city, food wastage), ETL vs. ELT, data pipelines, sharding, data architecture, virtual cloud networks, and ingestion concepts. Python topics like list vs. tuple, deep vs. shallow copy, data frames, and Power BI data types were also covered.SQL Coding questions included finding the third-highest salary per department and handling ties.Advanced SQL coding questions & Data engineering core concepts were also asked. The second round (EBI) focused on internship relevance, leadership scenarios like overcoming bias/groupism, and corporate parallels. Puzzles included the hourglass problem and dividing a cuboidal cake into two equal parts. The process tested technical skills, problem-solving, adaptability, and workplace readiness.
Whats are the differnt types of flow in hydraullics
mainly focus is on core java, multithreading, hashmap working, some data structures related questions
Binary tree traversal, implement a map structure, design a system for data collection regarding to Spotify statistics, etc.
The technical solutioning round. The senior specialist was very good in foundations and went in details on component design etc. The discussion was balanced and tricky also.
Will test across technologies .. Reason for switching barring your personal resons
Why do you want to work in this role?
Common challenge about deploying infra with terraform
Why do you interest in this job? Describe you strength
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