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I applied via LinkedIn and was interviewed in Sep 2024. There was 1 interview round.
I am a data engineer with a strong background in programming and data analysis.
Experienced in programming languages such as Python, SQL, and Java
Skilled in data manipulation, ETL processes, and data modeling
Worked on projects involving big data technologies like Hadoop and Spark
Handled conflict by facilitating open communication and finding a mutually beneficial solution
Identified the root cause of the conflict
Encouraged all parties involved to share their perspectives
Facilitated a discussion to find common ground and reach a resolution
Ensured that all parties felt heard and respected
Implemented strategies to prevent similar conflicts in the future
I applied via Referral and was interviewed in Feb 2024. There were 2 interview rounds.
Pattern Questions
Questions based on JP
Behavioral
Salary Discussion
I applied via Naukri.com and was interviewed before Apr 2023. There was 1 interview round.
Types of join include inner, outer, left, and right join. Self join is when a table is joined with itself.
Types of join: inner, outer, left, right
Self join: table is joined with itself
Example: SELECT e1.name, e2.name FROM employees e1, employees e2 WHERE e1.manager_id = e2.employee_id
Use SQL query with ORDER BY and LIMIT to find the 2nd highest salary.
Use SELECT statement to retrieve the salary column from the table.
Use ORDER BY clause to sort the salaries in descending order.
Use LIMIT 1,1 to skip the highest salary and retrieve the 2nd highest salary.
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I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed in Apr 2020. There were 4 interview rounds.
I applied via Walk-in and was interviewed before Jun 2020. There was 1 interview round.
I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.
I applied via Company Website and was interviewed before Jun 2020. There were 4 interview rounds.
MongoDB database algorithms are used for efficient data storage, retrieval, and processing.
MongoDB uses various algorithms for indexing, sharding, and aggregation.
Indexing algorithms include B-tree, hash, and text search indexes.
Sharding algorithms include range-based, hash-based, and zone-based sharding.
Aggregation algorithms include map-reduce and aggregation pipeline.
MongoDB also uses algorithms for query optimizati
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