Get Work as a Data Engineer in the United Kingdom
Job title: Data Engineer
Company: Thales
Job description: (either programming languages or frameworks) incl PHP, ASP, C++, C#, Java, Python, Ruby, REST, MongoDB, PaaS…… Associate the Tools…
Expected salary:
Location: Crawley, West Sussex
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A data engineer is a professional responsible for designing, building, and managing an organization’s data infrastructure. They are experts in transforming raw data into formats that can be easily analyzed and used by data scientists and business analysts.
The role of a data engineer starts with understanding the data requirements of the organization. They work closely with stakeholders such as data scientists, business analysts, and IT teams to identify the types of data needed and the best ways to collect and store that information. This involves designing databases, data pipelines, and storage systems that can handle large volumes of data efficiently.
Once the data infrastructure is in place, data engineers play a crucial role in data processing. They use various tools and technologies to extract, transform, and load (ETL) data from different sources into the organization’s data warehouse or data lake. This process involves cleaning, validating, and structuring the data so that it is accurate, consistent, and ready for analysis.
Data engineers are also responsible for ensuring the quality and security of the data. They implement data validation checks and monitor data pipelines for any issues or errors. They also work with IT teams to establish security measures to protect sensitive data and comply with data privacy regulations.
In addition to building and managing data infrastructure, data engineers also collaborate with data scientists and business analysts to develop data models and algorithms. They understand the requirements of data science projects and help create systems that can support the analysis and interpretation of large datasets.
Data engineers also play a significant role in data governance. They establish best practices for data management, data integration, and data storage. They create and maintain documentation of data processes, data dictionaries, and metadata. Data engineers also contribute to the development of data policies and data governance frameworks within the organization.
To excel in this role, data engineers need to have strong technical skills in programming languages such as Python, SQL, and Java. They should have a good understanding of database systems, data warehousing, and cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure. Knowledge of big data technologies such as Hadoop, Spark, and Kafka is also advantageous.
In summary, a data engineer is responsible for designing, building, and managing an organization’s data infrastructure. They extract, transform, and load data, ensure its data quality and security, collaborate with data scientists and business analysts, and establish data governance processes. With their technical expertise, data engineers play a crucial role in enabling data-driven decision-making and insights within an organization.
Job date: Thu, 07 Sep 2023 00:05:38 GMT
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