Demand for data engineering exceeds data scientists? Discuss the present scenario
Data engineers are focused on building and maintaining data infrastructures, data scientists tackle the data and interpret them. Data Engineer is the fastest-growing job in 2019, growing by 50%. Data Scientist is also up there on the list, growing by 32%. Both data scientists and data engineers play an essential role within any enterprise.
Data engineering is fundamentally more important than data science. Data engineering maintains the infrastructure that allows data scientists to analyse data and build models. there can be no data science without data engineering. Data engineering is the foundation for a successful data-driven company. They facilitate the development of the data process stack to accumulate, store, clean, and process data in real-time or in batches and prepare the data for further analysis. In essence, Data Engineers create support systems for Data.
Data Engineer Vs Data Scientist:
Data Scientist and Data Engineer are part of the same team that seeks to transform raw data into actionable business insights. “Data engineers are the plumbers building a data pipeline, while data scientists are the painters and storytellers, giving meaning to an otherwise static entity.” by David Bianco.
Computer programming, Statistics, linear algebra, Machine learning, and algorithms are pillars of data science. Big data storage and processing, data pipelines, model ETL (Extract, Transform, Load) are data engineering. But usually, both professionals come from Mathematics, Physics, Computer Science, Information Science, or Computer Engineering backgrounds.
Data Engineers are focused on building infrastructure and architecture for data generation. In contrast, data scientists are focused on advanced mathematics and statistical analysis of that generated data.
Data engineers build scalable, high-performance infrastructure for delivering clear business insights from raw data sources; implement complex analytical projects with a focus on collecting, managing, analysing, and visualizing data; and develop batch & real-time analytical solutions.
Keeping Data Scientists and Data Engineers Aligned:
The roles of data scientist and data engineer are distinct, though with some overlap, so it follows that the path toward either profession takes different routes, though with some intersection. The engineer’s job of productionizing a model could be tricky depending on how the data is built it.
SQL and Python are the most popular programming languages are must-knowing for both. But companies with highly scaled data science teams will likely prefer candidates who are also skilled in areas of big data tools, data modelling, data warehousing traditionally associated with data engineering for managerial roles.
Data engineers are curious, skilled problem-solvers who love both data and building things that are useful for others. Either way, data engineers together with data and business analysts are a part of the team effort that transforms raw data in ways that provides their enterprises with a competitive edge.
Data Scientists are engaged in constant interaction with the data infrastructure that is built and maintained by the data engineers. Data engineers work to support data scientists and analysts, providing infrastructure and tools that can be used to deliver end-to-end solutions to business problems.
Data scientists depend on data engineers. Whereas data tend to toil away in advanced analysis tools such SPSS, Hadoop, and advanced statistical modelling. data engineers are focused on tools such SQL, MySQL, NoSQL, Cassandra, and other data organization services. Both skillsets, that of a data engineer and of a data scientist are critical for the data team to function properly.
Are our data engineering jobs more in demand than data science jobs?
The roles of data engineers and data scientists are known to be very crucial in every organization. Data engineering does not garner the same amount of media attention when compared to data. But still, data engineering is the fastest-growing job in the entire technology market. The salary of data engineers is higher than that of data scientists. In 2019, there was an 88.3% increase in the number of data engineer jobs in the past 12 months. According to some reports, it has also been seen that the demand for data engineers is five times higher as compared to data in the market.
