ETL Lead

ETL Lead Interview Questions and Answers

Updated 4 Jul 2025
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Asked in HCLTech

3d ago

Q. SQL : different between Row_num and rowid , remove duplicates etc etc

Ans.

Difference between Row_num and rowid in SQL and removing duplicates

  • ROW_NUM is a function that assigns a unique number to each row in a result set

  • ROWID is a unique identifier for a row in a table

  • To remove duplicates, use the DISTINCT keyword in a SELECT statement

  • Another way to remove duplicates is to use the GROUP BY clause

  • The HAVING clause can be used to filter out duplicates based on a condition

Asked in NTT Data

6d ago

Q. Validation of data between source and target

Ans.

Validation of data between source and target is a crucial step in ETL process.

  • Compare the data types and formats of source and target data

  • Check for missing or extra data in target

  • Verify data transformation rules are applied correctly

  • Perform data profiling to identify anomalies

  • Use checksums or hash values to ensure data integrity

Asked in Barclays

6d ago

Q. Explain the Teradata architecture.

Ans.

Teradata architecture is a massively parallel processing (MPP) architecture designed for data warehousing and analytics.

  • Teradata architecture follows a shared-nothing approach.

  • It consists of parsing engine, BYNET, access module processors (AMPs), and disks.

  • Parsing engine receives SQL queries and generates an execution plan.

  • BYNET is responsible for interconnecting the parsing engine and AMPs.

  • AMPs store and process data in parallel.

  • Disks store the actual data in a distributed m...read more

Asked in HCLTech

3d ago

Q. 2. Different kind of Lookup

Ans.

Different types of Lookup in ETL

  • Cached Lookup

  • Dynamic Lookup

  • Unconnected Lookup

  • Connected Lookup

  • Static Lookup

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Asked in NTT Data

6d ago

Q. How do you validate BI reports?

Ans.

Validation of BI reports involves verifying data accuracy, completeness, and consistency.

  • Verify data accuracy by comparing with source systems

  • Ensure completeness by checking all expected data is present

  • Check consistency by comparing with historical data or benchmarks

  • Validate calculations and aggregations

  • Test report functionality and user experience

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