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Highest Paying Data Science Jobs in the World

Knowledge Hut

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

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Top Big Data Certifications to choose from in 2023

ProjectPro

Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.

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Big Data Engineer Salary - How Much Can You Make in 2023?

ProjectPro

Data structures, data modeling, and programming skills, for instance, are usually essential to work well as a Big Data Engineer. Big Data Engineering professionals with advanced or expert-level knowledge in Java get an annual average salary of $102,171.

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Data Scientist Salary-The Ultimate Guide for 2023

ProjectPro

Still, the job role of a data scientist has now also filtered down to non-tech companies like GAP, Nike, Neiman Marcus, Clorox, and Walmart. These companies are looking to hire the brightest professionals with expertise in Math, Statistics, SQL, Hadoop, Java, Python, and R skills for their own data science teams.

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How to grab the high-paying jobs in todays Big Data and Cloud Computing field?

ProjectPro

Access Job Recommendation System Project with Source Code 3) Java - Average Salary $114,234 Java is a popular application programming language that has several other tech skills associated with it like Hadoop and Python. The demand for the old standby Java is at an all time high when combined with other big data technologies.

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R Hadoop – A perfect match for Big Data

ProjectPro

However, if you discuss these tools with data scientists or data analysts, they say that their primary and favourite tool when working with big data sources and Hadoop , is the open source statistical modelling language – R. Since, R is not very scalable, the core R engine can process only limited amount of data.

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