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🚀 Internship

Data Engineer Intern - Summer 2024

🚀 Summer Internship

Cleveland

AI generated summary

  • The ideal candidate for this Data Engineer Intern position should be a computer science or related degree student in their second or third year. They should have a strong foundation in Python and SQL, as well as proficiency in additional programming languages like Java or Scala. Familiarity with data visualization tools, cloud platforms, data warehousing concepts, and big data technologies is also required. Exposure to machine learning or data science concepts and tools is a plus.
  • The Data Engineer Intern will assist in ETL processes, develop data pipelines, support data quality initiatives, perform data analysis, participate in data projects, document processes, troubleshoot issues, and learn data engineering tools and technologies.

Summer Internship

DataCleveland

Description

  •  We value candidates who are eager to learn and contribute to practical aspects like data processing and ETL. Effective communication, problem-solving skills, and adaptability in a dynamic environment are essential. The candidate should be a collaborative team player while demonstrating independence when needed. Ultimately, they should be enthusiastic about gaining hands-on data engineering experience during their internship.

Requirements

  • Our ideal candidate for the Data Engineer Intern position should be a computer science or related degree student, preferably in their second or third year. They should have a strong foundation in Python and SQL and a genuine passion for data and data engineering.
  • Proficiency in additional programming languages like Java or Scala.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of data warehousing concepts and tools.
  • Understanding of big data technologies like Hadoop or Spark.
  • Exposure to machine learning or data science concepts and tools.
  • Education:
  • Junior or Senior year of college or advanced degree/certificate.

Education requirements

Third Year
Second Year

Area of Responsibilities

Data

Responsibilities

  • Assisting in data extraction, transformation, and loading (ETL) processes to ensure data accuracy and integrity.
  • Collaborating with the data engineering team to develop and maintain data pipelines for various data sources.
  • Supporting data quality initiatives by performing data validation, cleansing, and error handling tasks.
  • Assisting in data analysis tasks, including data profiling and exploration to uncover insights and trends.
  • Participating in data-related projects, such as data modeling, data integration, and data warehousing.
  • Documenting data processes and workflows to maintain data governance and best practices.
  • Providing support for troubleshooting and resolving data-related issues or discrepancies.
  • Learning and applying data engineering tools and technologies under the guidance of experienced team members.

Details

Work type

Full time

Work mode

office

Location

Cleveland