Data Management

Data Management or Data Engineering is the systematic approach to acquiring, cleaning and manipulating, transforming, validating, moving, storing, and securing raw data for the accessibility to users and applications.

Data Management professionals need to understand various data types, data stores, and structures such as: structured data, non-structured data, relational databases, object-oriented databases, SQL databases, NonSQL databases, flat files, Hierarchal data structures, etc.

Data Management professionals manipulate data through various technologies such as core operating system commands, shell scripting, various coding languages, as well as various data modeling and data transformation tools.

Software Engineer
Software Architect
Cloud Engineer
API Developer
UI Developer
UX Engineer
Web Developer
Mobile Application Developer
Security And Compliance Expert
Storage Management Expert
Disaster Recovery Expert

Implementation Engineer
QA Engineer
Testing Engineer
Data Engineer
Data Architect
Database Administrator
Project Manager
Program Manager
Devops
Site Reliability Engineer
Application Support Technician

Application Development Engineer
Solutions Architect
BI Analyst
Analytics Developer
Data Warehouse Architect
Automation Engineer
Artificial Intelligence (AI) Engineer
Machine Learning Engineer
Data Scientist
Business Analyst
E-Commerce Developer

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Data management or data engineering is the systematic approach to acquiring, cleaning, and securing raw data for accessibility to users and applications. It also includes manipulating, transforming, validating, moving, and storing the data to get it to its final state. Data management professionals manipulate data through various technologies such as core operating system commands, shell scripting, and multiple coding languages as well as various data modeling and transformation tools. Given the complexity of data, these professionals must understand various data types, stores, and structures such as: structured data, non-structured data, relational databases, object-oriented databases, SQL databases, NonSQL databases, flat files, hierarchical data structures, etc.