Indeed very closely related fields but what separates the three is the core task area.

Data Engineering is the overlapping of two areas- Software Engineering and Statistical Algorithms. It focuses on development and maintenance of data pipelines. A Data engineer prepares data for further analytical usage.

Data Analytics deals with Data Communication and Statistical Algorithms. Data analysts mainly analyze the data, make it understandable and accordingly take actions that affect a company’s scope.

Data Science is the area where all 3 meet- Software Engineering, Statistical Algorithms & Data Communication. A data scientist is responsible for pulling out valuable information from the existing data. This helps organizations and companies in making predictions and data-driven decisions.