KPI Partners Data Engineer Interview Questions and Answers for Experienced

Q1. Sql joins,dense rank and rank,window function
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Q1. What is Informatica tool
Ans. 
Informatica is a data integration tool used for ETL (Extract, Transform, Load) processes in data engineering.
• Informatica is used for extracting data from various sources like databases, flat files, etc.

• It can transform the data according to business rules and load it into a target data warehouse or database.

• Informatica provides a visual interface for designing ETL workflows and monitoring data integration processes.

• It ...read more
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Q2. What is Datastage tool
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Datastage is an ETL tool used for extracting, transforming, and loading data from various sources to a target destination.
• Datastage is part of the IBM Information Server suite.

• It provides a graphical interface to design and run data integration jobs.

• Datastage supports parallel processing for high performance.

• It can connect to a variety of data sources such as databases, flat files, and web services.

• Datastage jobs can b...read more
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Q1. Basic que on sql join
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Q2. Python quetions
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Q1. Project history
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Q2. Tech stack used
Ans. 
Our tech stack includes Python, SQL, Apache Spark, Hadoop, AWS, and Docker.
• Python is used for data processing and analysis

• SQL is used for querying databases

• Apache Spark is used for big data processing

• Hadoop is used for distributed storage and processing

• AWS is used for cloud infrastructure

• Docker is used for containerization
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Q1. Handled team or not?
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Q2. Project experience
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Q1. Experience, skills, current org and previous org
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Q1. How Bigquery architecture work
Ans. 
Bigquery architecture is a distributed, serverless, highly scalable, and cost-effective data warehouse designed for large-scale data analytics.
• Bigquery uses a distributed architecture to store and query data across multiple servers for high performance.

• It is serverless, meaning users do not need to manage any infrastructure and can focus on analyzing data.

• Bigquery is highly scalable, allowing users to easily scale up o...read more
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Q2. Explain Data ingestion
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Data ingestion is the process of collecting, importing, and processing data from various sources into a storage system.
• Data ingestion involves extracting data from different sources such as databases, APIs, files, and streaming platforms.

• The extracted data is then transformed and loaded into a data warehouse, data lake, or other storage systems for analysis.

• Common tools used for data ingestion include Apache Kafka, Apa...read more
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1hour,Time speed distance

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