Consumer Data Protection: Data Scientists And Data Security
SOURCE: WWW.DISCOVERDATASCIENCE.ORG/
AUG 14, 2023
Everything you need to know to become a data engineer!
SOURCE: ANALYTICSINSIGHT.NET
SEP 26, 2021
Roles and responsibilities: Data engineers are responsible for maintaining the organization’s whole data ecosystem, this includes from data sources and databases to data storage solutions. He/She also build data pipelines that are used to transport data from a data source to a data warehouse. Data engineers analyze and organize raw data, build pipelines, evaluate business needs and objectives, interpret trends and patterns, prepare data for prescriptive and predictive modeling, build algorithms and prototypes, develop analytical tools and programs, and collaborate with data scientists and architects on projects. A data engineer must develop, construct, test, and maintain architectures and align them.
Average salary (per annum): $127601
Data Engineering nano degree certification (Udacity): This nano degree has been designed with the sole purpose of helping to learn about the techniques to design a data model, build warehouses, automate the processing and handle various scales of information. A student with knowledge of Python and SQL can be an added advantage.
Data Engineer Learning path (Coursera): This is the best course for the beginner of data engineering. It does not require any experience and can help understand the basics following a step-by-step plan based on the recommendations provided by the guide. This course can equip you to learn more complex courses.
Data Engineering with Google Cloud (Coursera): This is an advanced certificate program designed to help you learn the skills that you need to improve your career in data engineering. This course is beneficial for the industry-recognized Google Cloud Professional Data Engineer Certification. This also enables students to make data-driven decisions.
Deloitte: Deloitte is a leading provider of audit and assurance, consultancy, financial advisory and tax services, and etc. This information is stored in the data and so data engineers are needed for the company for maintaining the organization’s whole data ecosystem, this includes from data sources and databases to data storage solutions.
Capgemini: Capgemini is a consulting, technology services, and digital transformation company with data used for defining the end of the database, and then formulating the organizational data strategy, including standards of data quality, the flow of data within the organization, and security of the data.
Fractal Analytics: It has emerged as one of the top analytics services service providers in the country. The company has a global footprint boasting of several Fortune 500 companies from industries like retail, insurance, and technology. It has many branches in all parts of India hiring new positions.
Amazon: Amazon is one of the biggest e-commerce companies around the world and is also among the top data recruiters worldwide. Amazon is a giant of data and to comprehend the intensity of data it requires data engineers for its core operations from marketing streamlining, logistics, and inventory management to sales expectation and even HR analytics.
Bank of America: It is an American multinational bank that relies on huge amounts of data architects for building complex computer database systems that are accessible, useful, and secure the processes of the bank and its data by understanding the business need and exploring the existing data structure.
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