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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

The former uses data to generate insights and help businesses make better decisions, while the latter designs data frameworks, flows, standards, and policies that facilitate effective data analysis. Let’s start from the hard skills and discuss what kind of technical expertise is a must for a data architect.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Let us take a look at the top technical skills that are required by a data engineer first: A. Technical Data Engineer Skills 1.Python Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems.

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?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

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Software Developer Salary in India [Freshers & Experienced]

Knowledge Hut

They can also utilize different programming languages and frameworks to get the job done. Job Titles Software developers who specialize in certain areas of expertise (like games or machine learning) will typically earn more than those who are generalists. They know how to write code that is maintainable and error-free.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

These certifications have big data training courses where tutors help you gain all the knowledge required for the certification exam. Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc.