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This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.

1.

What do Data Engineering interns do?

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As a data engineering intern, you'll collaborate with BUSINESS leads, analysts, and data scientists to GAIN a better UNDERSTANDING of the business domain and work with other fellow ENGINEERS to create data PRODUCTS.
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2.

Are data engineers paid well?

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YES, due to the shortage of talent in the field, companies are willing to pay a huge AMOUNT to mid-level as well as FRESHER data ENGINEERS. ACCORDING to Glassdoor, the average salary of a data engineer in India is Rs. 8,56,643 LPA. Learn More.
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3.

Is Data Engineering a good career?

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DATA engineering is a trending and well-paid career. It's one of the world's fastest-growing positions in one of the world's fastest-growing industries, with one of the HIGHEST average earnings. The growth of Big Data ATTESTS to the FACT that data ENGINEERS will always be in high demand.
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4.

How to become a Data Engineer?

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To BECOME a data engineer you have to:

  • Learn computer-science fundamentals
  • Master a programming language
  • Understand concepts of SOFTWARE testing
  • Learn database concepts, try to learn both RELATIONAL and nonrelational database concepts.
  • Learn how to design and construct a data warehouse as it is crucial.
  • Understand the basics of cloud computing
  • Learn about frameworks for batch, hybrid, and streaming data processing. Apache Pig, Apache Spark, and Apache Kafka are just a few examples.
  • Scheduling your workflow- you can use TOOLS like Apache Airflow for this
  • Understand the basics of networking
  • Learn how to use machine-readable CONFIGURATION files to manage and provision your data centre. Learn how to use containers with tools like Docker, Kubernetes, and AWS CloudFormation.
  • The final step of learning– learn about cybersecurity to protect your data.
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5.

What are the roles and responsibilities of a data engineer?

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ROLES and responsibilities of a data ENGINEER include: 

  • Work on data Architecture: PLAN create and MAINTAIN data architecture.
  • Collect data: Obtain data from reliable sources.
  • Research: Look for any underlying issues.
  • Upgrade skills: Remain updated with the latest ALGORITHMS and tools.
  • Create models: Create predictive models to forecast future patterns and demands.
  • Automate tasks.
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