Intern - Data Engineering

Wiley
19 days ago
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10 Applied
Expires on: Nov 15 2024
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Ref.No 00006620

Description

How you will make an impact:

  • Hands-on experience involving software lifecycle development.
  • Hands-on experience in Programming industrial level applications and related processes.
  • Participate in new feature addition discussions with the other development teams and business teams.
  • Participate and contribute to all Agile/Scrum ceremonies within the team and cross teams.
  • Working on setting up non-prod environments and gain exposure of using them correctly.
  • Expertise in working in a multinational organization environment.
  • Proactive and Reactive Monitoring of Application Systems and Infrastructure.
  • Improve communication skills, understanding the dynamics of working in a team.
  • Reading, understanding, and writing technical documentation.

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What we look for:

  • Undergraduates reading for a degree in Data Engineering, Data Science, Computer Science, Software Engineering, IT, or any other related discipline (3rd year or 4th Year students) who are available for a 1-year internship.
  • Work will be based on a hybrid model, with the expectation to attend on-site trainings and meetings as required.
  • Have strong knowledge of OOP concepts and its applications.
  • Have strong knowledge of Data structures and Algorithms and be able to analyze Algorithm's space and time complexity.
  • Have strong knowledge and experience in at least one programming language such as Python or Java.
  • Have strong knowledge and experience in database concepts and SQL queries.
  • Knowledge in data warehousing concepts, ETL processes, and a broad understanding of data engineering practices. Experience with data-driven projects is a plus.
  • Knowledge of web programming languages, including JavaScript and some of its frameworks, with experience in web projects, is an added advantage.
  • Have a basic understanding of cloud-based environments such as AWS.
  • Have excellent communication and problem-solving skills with solid theoretical background.


Skills
Data Analytics
SQL
scripting
data profiling
Industry Sector