Data Engineer - Entry Level

Description

We are excited to announce an opening for an Entry Level Data Engineer in our dynamic and growing organization. As a Data Engineer, you will play a crucial role in building and maintaining the data infrastructure required to support our analytics and business intelligence initiatives. This position is ideal for recent graduates or individuals starting their careers in data engineering. You will have the opportunity to work with a variety of data technologies and contribute to the design and development of scalable data pipelines. Your work will directly impact the way our organization utilizes data to drive strategic decisions and improve overall efficiency. In this role, you will collaborate with data scientists, analysts, and IT teams to ensure that data is accessible, reliable, and high-quality. You will gain hands-on experience in extracting, transforming, and loading data (ETL) processes. If you are technically inclined, eager to learn, and passionate about data, we encourage you to apply and become a part of our innovative team that is dedicated to leveraging data for business success.

Responsibilities

• Assist in the design and implementation of data pipelines and architectures.
• Develop and maintain ETL processes to collect, transform, and store data from various sources.
• Conduct data profiling and analysis to ensure data quality and accuracy.
• Collaborate with data scientists and analysts to understand data requirements and provide necessary data solutions.
• Monitor the performance of data systems and troubleshoot issues as they arise.
• Document data processes and architecture for internal use and knowledge sharing.
• Stay up-to-date with emerging technologies and best practices in data engineering.
  
  

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Familiarity with data modeling, data warehousing, and database design.
• Basic knowledge of programming languages such as Python, Java, or Scala.
• Understanding of SQL and experience with relational databases.
• Exposure to big data technologies such as Hadoop or Spark is a plus.
• Willingness to learn and adapt to new data tools and technologies.
• Strong analytical skills and attention to detail.