What does a data engineer do? Profession has a high salary and is expected to boom in 2024

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Those who have this occupation are responsible for organizing the digital system that manages a company’s data and should earn up to R$24,100 next year, according to the recruiter’s research. Data scientist has a strategic vision in analyzing information for decision making Toledo Prudente Do you know what a data engineer does? This technology professional will be one of the most sought after by companies in 2024, as well as one of the most difficult to find. The information comes from recruiter Robert Half’s Salary Guide, launched this month, which highlights recruitment and remuneration trends for next year in Brazil. Technology positions draw attention in the survey, with salaries of up to R$51,600 for directors. In the case of a data engineer, the average monthly salary for an experienced professional should be R$24,100 (see the table below). In short, the data engineer is responsible for organizing the digital system that manages a company’s data, explain the experts interviewed by g1. He can work in different segments, not just technology companies, and works together with other professionals in the field, such as data scientists. Often, the functions even end up mixing. The work of data professionals will help the company make important decisions, such as defining which bank customers deserve more credit on their card, for example, or knowing how many medicines the pharmacy needs to buy next month. And, to become a data engineer, it is not necessary to attend a specific college, but you must have an excellent command of statistics and mathematics, as well as programming, warns Ricardo Galiardi, a professional with 17 years of experience in the field. In this report, you will see: The differences between data roles, with examples; How much should these professionals earn in 2024; What knowledge is needed to enter the market. Is programming still worth it? Does it give money? Professionals tell us how the sector is doing (and give tips) Who data professionals are (and where they work) Ricardo Galiardi is a data architect, data engineer and data scientist. Having been in the software market for 33 years, he explained to g1 the difference between these three positions and the functions of each one within a company. The data architect, according to him, is the professional who sets up the structure to manage the company’s data. He is the one who will research the cost of storing this data in the virtual environment and ensure that the process is carried out safely. The engineer collects data, whether from websites, government sources or within the companies themselves. From there, he organizes the information within the structure that the architect created. The data scientist, in turn, analyzes the data collected and organized in the system to recommend actions to the company. “It does that data magic, sees if it will sell more, sell less, which product is better”, says Galiardi. Ricardo Galiardi has 17 years of experience in the data area Personal file The companies that will lead the hiring of technology professionals in 2024 are banks, insurance companies, industries, agribusiness, health and education, according to the Robert Half survey. But, for Elisa Rodrigues, the company’s recruitment specialist, the data engineer “exists or should exist in every large company”. “And even in smaller companies that deal with a large volume of data. They need someone to put order in the house, organize this data in a specific place,” she says. 💳 BANK – Wesley Soares de Abreu is 32 years old and works as a data scientist at a Brazilian bank. His job is to make credit models. He explains an example: “I have the customer’s history and I know that he uses the card two or three times a month, spending an average of so many reais. I can’t analyze customer by customer, so I go after the databases that have these information.” “There’s a lot of data processing and then I move on to analyzing customer behavior. I’m going to take each variable I have there to understand if it can have more or less limit.” 💊 HEALTH – Galiardi works for an Indian consultancy that provides services to a large pharmaceutical industry in the United Kingdom. He works from home and starts work in the early hours of the morning. “Our mission is to collect industry operation data. We have several spreadsheets and a team that runs 24 hours a day, 7 days a week, to process this data. We have information from consumers, servers, field operations, machines, etc., and we provide reports for the company’s management to make decisions,” he says. One of the objectives of this work, according to him, is to make data accessible to all areas of the company, so that they can use it to improve services. “And there is no point in sending information only in the form of data. We use reports, graphs. The business analyst creates visual reports with all this data and presents it to the director who requested the information. He will receive the data in a more playful and dynamic way.” 🏛️ PUBLIC POLICIES – Researcher Gabriel Gomes de Oliveira, who works at the Renato Archer Information Technology Center (CTI), linked to the federal government, also cited the use of data science in public policies. “The progress of Covid in each region, adopting actions to minimize impacts… This was done through data analysis from Data SUS. Another possibility is to check the incidence of fires in the Amazon, how they are progressing, etc.” Researcher Gabriel Gomes de Oliveira works at the Information Technology Center (CTI) Renato Archer Personal file And does it really pay well? The survey by recruiter Robert Half found that the average monthly remuneration of a data specialist/scientist should be as follows in 2024: Specialist/data scientist salary The research divides the salary range of professions into three possibilities, the first being ( “starting salary”) for the candidate who is new to the job or is still developing relevant skills, and the last (“final salary”) for the more experienced professional, with specializations and certifications. Therefore, the “average salary” does not represent the average salary for that position, but rather how much, on average, a candidate considered intermediate in these qualification and experience aspects earns. The guide did not specifically mention the salary of a data engineer, but according to Elisa Rodrigues, from the company’s recruitment team, the remuneration for these positions is usually quite similar. Data scientist Wesley Soares, who works at a bank, made a reservation about salaries and said that, at the beginning of his career, vacancies for data scientists usually pay between R$5,000 and R$7,000, half of what is estimated in the recruiter’s research. “In the case of a PJ, you can even earn twice as much, but it is to compensate for the CLT benefits”, he comments. According to the recruitment specialist, salaries may be lower than those presented in the survey because a professional at the beginning of his career does not normally start at a company as a data engineer, but rather in more “junior” positions related to the area, such as data analyst. In the case of a data manager, mentioned in the survey with salaries of R$21,600 to R$36,100, the day-to-day role is more related to executive leadership. “He has the entire data area beneath him and sets up the entire strategy for that area. It has to have a technical bias, but there will be a team focused on data. In many large companies, which is where many data engineers are, this professional will probably report to a manager”, explains Elisa Rodrigues. For Ricardo Galiardi, from the pharmaceutical industry, the data area pays well and professionals are almost never unemployed. “But there is a ‘however’: either you are constantly learning, understanding that the market is evolving, or you get out,” highlights Ricardo, who says he undergoes a new certification every three or four months. Information security has a salary of R$38 thousand, but there are no professionals; see how to enter It goes beyond knowing how to program Gabriel, from the government’s CTI, has a degree in civil engineering. Wesley, from the bank, is an aerospace engineer. And Ricardo, from the foreign company, graduated in electrical engineering. “Nowadays you can major in any field and go into data science. I’ve seen people with culinary degrees in the industry, but of course the course you take helps,” says Wesley. For Ricardo, the first path is to learn programming languages, such as Python and Java. Having knowledge of statistics and mathematics is also essential, in addition to knowing the English language. “Today there are countless courses to become all these positions in the data area. Microsoft, Google, Amazon have paid and unpaid training. Some universities also have specific training for engineers, scientists and data architects”, advises Ricardo. He also said that some data tool providers provide certificates for those who master that system and that “this is highly demanded in the market”. “Sometimes, the project also needs extra knowledge”, points out Gabriel. “There is a data science project that involves the chemical and petroleum areas, so you will need a chemical engineer specialized in computer science to work.” According to recruitment specialist Robert Half, the fact that specific training is not required for a data engineer contributes to the shortage of professionals in the market. “It’s a very new profession and is increasingly in demand because now companies are facing a scenario where they need to control their data. […] And the person has to want to enter this area, they have to take courses, know how to program. There are many ‘buts’ and you don’t find it all in one place”, he concludes. READ ALSO: New card scam: criminals block contactless payments; find out how to protect yourself ‘Extra income scam made me lose R$1,728’, says victim; understand the risk of accepting to do small tasks on your cell phone See tips for starting your IT career: Information security on the rise: see how to enter the sector Programming on the rise: see how to start in the sector 5 tips for starting your IT career

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