In this article, We are going to look at the skills and qualifications you need to become a data engineer and provide you with some tips to help you land your first position in the industry.
Who is a data Engineer?
A Data engineer is responsible for laying the foundations for storage, transformation, and management of data in an organization. They manage the design, creation, and maintenance of database architecture and data processing systems; this ensures that the subsequent work of data analysis, visualization, and machine learning models development can be carried out seamlessly, continuously, securely, and effectively.
Responsibilities of a Data Engineer
They ensure that the large volume of data collected from different sources becomes accessible raw material for other data science specialists, such as data analysts and data scientists.
Serve as a data resource expert for the organization.
Build and execute data ETL solution pipelines for multiple clients in different industries.
Independently create data-driven solutions that are accurate and informative.
Interact with the data scientists team and assist them in providing suitable datasets for analysis.
Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines.
.
Exploring the basics of Data Engineering
To become a data Engineer, below is the path of the leaning path.
- Know programming languages like Python and Scala, R and Java.
- Learn the basics of Automation and scripting.
- High efficiency in advanced probability and statistics
- Ability to demonstrate expertise in database management systems.
- Experience with using cloud services providing platforms like AWS/GCP/Azure.
- Good knowledge of various machine learning and deep learning algorithms will be a bonus.
- Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.
- Good communication skills as a data engineer directly works with the different teams.
Top comments (0)