Companies can gather massive data, and they need the right technology and people to ensure that the data can be used properly by the time it reaches data scientists and analysts. Here is when data engineering comes to play. Data engineering is the practice of building and designing systems for storing, evaluating, and collecting data at scale. Working as a data engineer can give an individual an opportunity to make a difference globally where we will be developing 463 exabytes per day by 2025. Deep learning and machine learning fields cannot succeed without data engineers to channel and process that data.

What does a data engineer do?

Data engineers are responsible for maintaining, designing, and developing the data platform that includes data warehouses, data pipelines, data infrastructure, and data applications. Their ultimate goal is to provide companies with accessible data so that they can use it to optimize and evaluate … Read more

Be it any industry; each has its own set of recruitment challenges. Nevertheless, the healthcare industry is perhaps the most difficult to recruit for. The ever-changing industry protocols, patient needs, conventional systems and machinery, and the high risk involved mean that placing any candidate in the healthcare sector is no cake-walk. Adding on to it is the everlasting challenge of retaining the skilled staff. Going by the article published in the Health Business, the most significant challenge in the industry is getting the right people for the right job and serving and meeting the people’s needs.

This indeed leads to massive pressure on the healthcare recruitment professionals, especially when they try to fit in the suitable substitute into the healthcare system and meet the demands of the hospitals.

What is the Most Difficult to Fill Positions in the Healthcare Industry?

Healthcare recruiters have realized that there’s very little success in … Read more