HCLTech Data Engineer Interview Questions, Process, and Tips

Q1. Window functions
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Q2. Spark architecture
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Q1. Technical questions
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Q2. Behavioral question
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Q1. What is your current Compensation ?
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Q1. SQL PLSQL Project related complex queries
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Q2. SQL PLSQL Project related complex queries
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Q1. 1)spark architecture 2)manges tables and external tables 3)views in SQL 4)DBMS and RDBMS differences 5)simple SQL coding quetions
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3 SQL question -2 window, join and cte

Q1. How to connect to adls gen 2 from Databricks
Ans. 
To connect to ADLS Gen2 from Databricks, you can use the Azure Blob Storage API.
• Use the Azure Blob Storage API to connect to ADLS Gen2 from Databricks

• Provide the storage account name and key for authentication

• Use the storage account name as the filesystem

• Example: spark.conf.set('fs.azure.account.key..blob.core.windows.net', '')
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Q2. Explain activities used in your pipeline
Ans. 
Activities in the pipeline include data extraction, transformation, loading, and monitoring.
• Data extraction: Retrieving data from various sources such as databases, APIs, and files.

• Data transformation: Cleaning, filtering, and structuring the data for analysis.

• Data loading: Storing the processed data into a data warehouse or database.

• Monitoring: Tracking the pipeline performance, data quality, and handling errors.
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Q3. Diff b/w adls gen1 and gen2
Ans. 
ADLS Gen2 offers better performance, security, and scalability compared to Gen1.
• ADLS Gen2 supports hierarchical file system, while Gen1 does not

• ADLS Gen2 integrates with Azure Blob Storage, providing a unified data lake solution

• ADLS Gen2 offers better performance and scalability compared to Gen1

• ADLS Gen2 provides better security features such as Azure Data Lake Storage firewall and Azure Active Directory integration
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Q4. Did you work on AKV
Ans. 
Yes, I have worked on Azure Key Vault (AKV) for securely storing and managing sensitive information.
• Implemented AKV to securely store and manage sensitive information such as passwords, certificates, and keys

• Utilized AKV to encrypt data at rest and in transit

• Integrated AKV with applications for secure access to secrets
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Q1. Salary discussion
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Q2. Roles and responsibilties
Ans. 
Data Engineers are responsible for designing, constructing, installing, and maintaining data management systems.
• Designing and implementing data pipelines

• Building and maintaining data warehouses

• Ensuring data quality and integrity

• Collaborating with data scientists and analysts

• Optimizing data processes for performance and scalability
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