Data engineering is the science of collecting, storing, and validating data such that data scientists, data analysts, and ML Engineers can use it to make meaningful use of data to build insights, products on top of it.
Data Analysts are responsible for analyzing simple to complex data-sets, using analytical/ visualization/ statistical tools. They interpret data sets and prepare insights and reports that will effectively communicate trends, patterns, and predictions based on relevant findings in the data. A Data Analyst should know to extract insights and underlying patterns in the data and add value to the organization in any way using data.
Data Scientists are professionals having good domain knowledge and experience working with larger data systems and complex databases. They are expert analysts who can add value to the organization by exploring insights and underlying values from data using advanced analytics and also use machine learning concepts and predictive analytics to bring out futuristic predictions from data.
The primary work of a Business Analyst or BI Analyst is to help businesses and organizations to analyze, validate and approve their products, services, and data systems. They make a business profitable by expert decisions with the help of data. Decision Making, Speaking skills, and domain knowledge are pre-requisites along with a good foundation in Data Analytics.
Machine Learning Engineer
ML Engineers are Software Engineers who feed data to various ML architectures and models, to add intelligence into software applications. ML Engineer.
Applied AI Engineer
Applied AI Engineers incorporate machine learning techniques in the lifecycle of autonomous systems. They help develop and integrate machine learning and deep learning models into real-world applications
A cloud engineer is in charge of any and all technical responsibilities associated with cloud computing . Companies that want to hire a cloud engineer look for someone with three to five years of cloud services experience . The engineer should be versed in areas such as open source technology , scripting languages , multi -cloud environments , system engineering and software development.
Cloud Application Developer
An effective cloud application developer has to be a proficient in most -- if not all -- major scripting languages , with typically at least five years of experience .
Cloud Network Engineer
A cloud network engineer wears many hats . The role is primarily responsible for the implementation , configuration , maintenance and support of the entire cloud network .
Cloud Automation Engineer
One of the most critical and influential roles that affects a business's success with its cloud strategy is a cloud automation engineer. An automation engineer takes experience from software development or IT operations positions and applies a focus on cloud automation , orchestration and integration .
A cloud architect focuses on the big picture of infrastructure design and configuration rather than individual server configurations. To succeed, the candidate should bring 5 to 6 years of experience and be able to build a roadmap for the organization's existing and future cloud assets.
Cloud Security Manager
Security is a concern for both private and public clouds. Providers and users alike take comprehensive security measures to ensure that data is stored safely. Because of this, cloud security roles are vital for IT teams within companies
To become a cloud administrator, a candidate generally must have three to five years of practical experience in the cloud. A cloud admin should have a strong understanding of system management, troubleshooting and virtualization.