So you’re looking to build a data team, but who should you hire? In the world of data there are numerous job roles, from Data Analyst and Data Engineer to Data Scientist. Before hiring a data professional, you need to know the difference between them. Take a look at our blog on defining data professionals to find out the difference.
Once you know the difference, it’s important to understand the role and responsibilities and what they can do for your business!
Data Engineers are responsible for setting up and maintaining data infrastructure. That is to say, they will build pipelines and manage the data integrity and security. They develop data processes for data acquisition, data transformation, and data modelling, typically using SQL, Python, Spark or Go. A Data Engineer solves problems with technology, setting up the foundation for the Analysts and Scientists to build on.
kleene’s SaaS software makes this easy, so you won’t need to make expensive data engineering hires. We provide scale-ups with the data infrastructure necessary to build their single source of truth and empower Analysts to deliver value (without the need for data engineering!).. Our end-to-end automation and analysis removes the headache of data. Don’t worry if there isn’t in-house data expertise, kleene can handle your strategy, report building and much more!
Book a demo today to start solving your data problem!
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