Technology has overhauled the way businesses operate in today's tech-savvy world. The level of insight that business owners insight into all aspects of their organisations now largely depends on how effectively data is analysed and used. To ensure that you generate the right insights from your business data, it is key to have an experienced data engineering team.

However, data engineering talents have recently become scarce in the tech job market. How do you get started when building your team? Do you consider hiring a data engineer or data services and consulting firm?

Why is data engineering really important?

The forefront professionals In the data world, the professionals that many automatically think of are data scientists and data analysts because they are responsible for producing the quality report they rely on to make their business decisions. However, without professional data engineers behind the scenes, there would be no reliable, accessible, and consistent data to be analysed by data scientists and data analysts.

Data engineering is the practice of designing and building systems for collecting, storing, and analysing data at scale. It is a broad field with applications in just about every industry. This wide area requires specialists who understand all aspects of this highly technical field. Data engineers work in various settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret.

Data Engineering Consulting Firms

Data engineering consulting firms are staples in the IT field and handle the preparation and management of data for analytical and operational uses. These professional engineers are a key component of any effective data analytics team and often work alongside data scientists and data analysts.

Moreover, they aid in developing data models, connecting data pipelines, and assisting with ETL (Extract, Transform, Load) to ensure that high-quality data is collected, maintained, and easily analysed by others in the data science field. Several data consulting services provide these functions without acting as full-time, permanent employees. This is often a good option for small or midsize businesses with a relatively small amount of data.

What do Data Engineers do?

Data engineers and data consulting firms lay the foundation for modern data science and analysis. To do so, they use a variety of technical skills, such as working with multiple programming languages and SQL database design. Along with the position-specific skill set, they also know how to communicate with leaders of all departments company-wide to understand which datasets will be most relevant to each.

This is especially important when working with complex or high volumes of datasets. From there, they establish, build, test, and perpetuate business-specific algorithms to simplify accessing raw data. Data engineers use some of the tools below to fulfill their responsibilities:

• SSIS
• Informatica
• Snowflake
• Amazon Redshift
• Azure Synapse
• BigQuery
• Tableau
• PowerBI
• Looker
• Kafka
• Spark
• Hadoop

Why Does Your Business Need Data Engineering Services and Consultants?

Businesses need to analyse data because of the immense value data analyses provide. Analysing data aids in all business management components, from making important business decisions and improving customer satisfaction to increasing sales. Better insights come from well-analysed data. This is where data engineers come into play. They ensure that the most valuable and accurate data is collected.

Without a data engineer, businesses may struggle to collect data from multiple sources, and data scientists may be left with data that exists in several formats, making the analysis process more complex and prone to errors. Data engineers can also aid with other processes, such as coding and building an efficient infrastructure and pipeline.

Conclusion

Analysing business data provides better insight that leads to the best business decisions. But to do this effectively, data engineers are needed. With data engineers' scarcity and the cost of managing an in-house data engineering team, you should consider working with data consultants instead! Because you are guaranteed a qualified team of experts with several years of experience.

Data2Bots has a team of experts that have helped other businesses build and manage their data infrastructure. We have an extended team that can work with your team directly. Send a mail to info@data2bots.com to get started.

Tags: Data Engineering