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

AltexSoft

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. To perform or supervise data modeling, data architects must have expertise at database administration and SQL development.

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How to Become a Data Engineer in 2024?

Knowledge Hut

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. Generalists They are typically responsible for every step of the data processing, starting from managing and making analysis and are usually part of small data-focused teams or small companies.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

SQL Today, more and more cloud-based systems add SQL-like interfaces that allow you to use SQL. Traditional data transformation tools are still relevant today, while next-generation Kafka, cloud-based tools, and SQL are on the rise for 2023. You can consider getting one in computer science or computer engineering.

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

Knowledge Hut

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. 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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Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

Knowledge Hut

Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. A data engineer can be a generalist, pipeline-centric, or database-centric. Data Engineers indulge in the whole data process, from data management to analysis.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

The exam tests the use of Cloudera products such as Cloudera Data Visualization, Cloudera Machine Learning, Cloudera Data Science Workbench, Cloudera Data Warehouses well as SQL, Apache Nifi, Apache Hive and other open source technologies. Ideal if you are looking for big data certification for beginners.

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Machine Learning Engineer vs Data Scientist - The Differences

ProjectPro

In that case, Data Science is a comparatively broader and generalist role than Machine Learning Engineer, which is quite a specialist role and, therefore, sees a lot more vacancies, according to Indeed. As for the job prospects, both roles are emerging and attract a lot of opportunities, thereby creating an overwhelmingly high demand.