Data Science:

Uses in all fields of industry, Data science extracts data from different environments within the organization to predict and create models to be used in different applications. Design optimal data extraction methods. Improve data delivery within the infrastructure. Work with different teams to solve data related issues.

Data Engineering:

Design, Develop and maintain optimal data pipelines and use these to build analytical models and tools to provide meaningful insights to the organization’s development. Create complex datasets and create efficient systems to maintain these datasets. Working with product and software engineering to support the needed data requirements.

Proficiency:

Experience with working on SQL and knowledge in relational databases. Strong analytical skills like Manipulating, processing, extracting large datasets. Familiarity in programming languages such as Java, python, R and others that might be related to data science and engineering. Knowledge on data bricks is also a core component in this field of work.